2.2 Classification of cloud types In cloud type identification by satellites, the cloud types are classified into 7 groups: Ci (high level clouds), Cm (middle level clouds), St (stratus/fog), Cb (cumulonimbus), Cg (cumulus congestus), Cu (cumulus), and Sc (stratocumulus) (see Table 2.2.1). Cloud type classification by satellite imagery They'll give your presentations a professional, memorable appearance - the kind of sophisticated look that today's audiences expect. Do you have PowerPoint slides to share? Vector Data. As Gorelick et al. The reactor complex is the green rectangular area located just to the left of the black cooling pond. In worst case scenarios, Digital Orthophoto Quadrangles (DOQs) USGS maps and other products: ... Satellite based Forest Monitoring for REDD and other related purposes. Even after the fire was out, the heat from the reactor was detected by infrared sensors in orbit. Other similar applications using satellite imagery in disaster assessments include measuring shadows from buildings and digital surface models. Signal & Image Processing And Analysis For Scientists And Engineers Technical... La classification et l’identification des cultures par la télédétection, No public clipboards found for this slide, Freshology University as Managing Director. Land cover and land use 10. In the following example, the Image Classification toolbar was used to classify a Landsat TM satellite image. What is Google Earth Engine? NIPS 2014. This mainly refers to its usage in military aerial reconnaissance using photographs taken from reconnaissance aircraft and satellites. High-resolution satellite imagery tracks the changing human footprint across the globe, including rapidly growing … Image characteristics and format 5. The incoming solar radiation in … Ontological Modeling ... Satellite Image Based Classification Mapping For Spatially Analyzing West Virginia Corridor H Urban Development. Satellite images are only as good as their resolution. satellite imagery. (Compared to 1992 image) Images from US and French remote sensing satellites monitored the activity at the site. K. Simonyan, A. Zisserman. atmosphere. Or use it to create really cool photo slideshows - with 2D and 3D transitions, animation, and your choice of music - that you can share with your Facebook friends or Google+ circles. Department of Civil 2.2 Classification of cloud types In cloud type identification by satellites, the cloud types are classified into 7 groups: Ci (high level clouds), Cm (middle level clouds), St (stratus/fog), Cb (cumulonimbus), Cg (cumulus congestus), Cu (cumulus), and Sc (stratocumulus) (see Table 2.2.1). Current change detection methods typically follow one of two approaches, utilising either post-classification analysis [1], or difference image analysis [2]. We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Description – One-line description of the layer, specified as a character vector or a string scalar. Table 2-2-1. in static images. The dataset consists of images, their corresponding labels, and pixel-wise masks. Planet, a satellite imaging company, recently released a dataset of more than 100,000 images from the Amazon basin and sponsored a Kaggle competition involving label-ing the atmosphere and ground features in the images [1]. High-resolution satellite imagery tracks the changing … Image classification are based on the theory about probabilities. The free satellite imagery on the platform shows the land cover and its changes on the local and global scale. Many of them are also animated. 9.1Visual Image Interpretation of Photographs and Images . Cloud Screening and Classification in Satellite Imagery. Input Landsat TM image. Introduction to image Rectification 8. If so, share your PPT presentation slides online with PowerShow.com. - Satellite based Forest Monitoring for REDD+ and other related purposes State of Play and Future Perspectives, 04th October 2012, Bonn REDD Project Implementation ... - Week 2 March 13, 2013 Fundamentals of Satellite Remote Sensing NASA ARSET- AQ Introduction to Remote Sensing and Air Quality Applications, SATELLITE MONITORING of ESTONIAN LANDSCAPES. presentation on image processing and temperature and humidity sensor. References PhD student, University of Edinburgh. Image classification in the field of remote sensing refers to the assignment of land cover categories (or classes) to image pixels. Satellite image N. Region Extraction. 3.7 Scene classification of aerial/satellite images Distinguished from the aforementioned pixel‐level image classifications which interprets HSIs with a bottom‐up manner, scene classification aims to automatically assign a semantic label to each scene image … Application of land use and remote sensing 11. This mainly refers to its usage in military aerial … 1. Hence this channel is known as the Visible channel. Satellite image classification can also be referred as extracting information from satellite images. The image is classified to six classes including water, vegetation, thin partial clouds over ground, thin clouds, low/middle thick clouds and high thick clouds plus unknown class for supervised classification. This new intensity image, together with the original hue and saturation images (from the multispectral image) are then transformed back into an RGB colour space for visualization. Landuse/Landcover (LULC) Classification… Examples of Satellite images 7. - SATELLITE MONITORING of ESTONIAN LANDSCAPES Kiira Aaviksoo and Andrus Meiner Estonian Environment Information Centre Mustam e tee 33, Tallinn 10616 ESTONIA, National Environmental Satellite, Data, and Information Service. CrystalGraphics 3D Character Slides for PowerPoint, - CrystalGraphics 3D Character Slides for PowerPoint. Ms. Aparajita Ranjan Each image is 256 x 256 pixels and has RGB and near-infrared channels. Satellite images are only as good as their resolution. Multi spectral image classification is used to extract thematic information from satellite images in a semi-automatic way. One idea would be to calculate NDVI for each pixel in an image and use those values as an additional color channel in the image. This has to be prepared and executed quickly and with accuracy. Rapid scan satellite images; Visible Channel (0.65 µm) The channel (0.65µm) lies in the visible region (0.4µm - 0.7µm) of the electromagnetic spectrum which can be seen with naked eye. Satellite image classification is not complex, but the analyst has to take many decisions and choices in satellite image classification process. First, image geo-referencing was tested at prominent landmarks (Corvallis Municipal Airport runways and a horse-shoe bend in the Willamette River 13 km NNE of the airport) and image offsets were adjusted to achieve sub-pixel accuracy at the landmarks. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Satellite image classification is not complex, but the analyst has to take many decisions and choices in satellite image classification process. Introduction 2. It's FREE! Image Classification in QGIS: Image classification is one of the most important tasks in image processing and analysis. Winner of the Standing Ovation Award for “Best PowerPoint Templates” from Presentations Magazine. The use of remote Then, from the stacked satellite image the study area image was extracted by clipping the study area using ArcGIS 10.3 software. This has implications for object or land-type identification in satellite image classification. As mentioned before, satellites like Sentinel-2, Landsat and SPOT produce red and near infrared images. ... Landsat Satellite Imagery. Or use it to upload your own PowerPoint slides so you can share them with your teachers, class, students, bosses, employees, customers, potential investors or the world. Do you have PowerPoint slides to share? - Title: Satellite Image Processing for the UNESCO World Heritage Speyerer Dom Author: ku Last modified by: FS Created Date: 12/9/1999 9:54:49 AM Document presentation ... - Digital Image Processing Lec1: Introduction Introduction One picture is worth more than ten thousand words Anonymous Contents This lecture will cover: What is a ... EELE 5310: Digital Image Processing Lecture 1 Eng. Photographic interpretation is “the act of examining photographic images for the purpose of identifying objects and judging their significance” (Colwell, 1997). Cloud Screening and Classification in Satellite Imagery. The masks are basically labels for each pixel. The smaller the pixel size, the sharper the image. Ultimately, our model achieves a balanced accuracy of around 0.65 on Sentinel-2 optical satellite imagery. ABSTRACT: The availability of hyperspectral images expands the capability of using image classification to study detailed characteristics of objects, but at a cost of having to deal with huge data sets. Image Classification Chapter 12 Contextual Classification Context is derived from spatial relationships within the image Can operate on either classified or ... – A free PowerPoint PPT presentation (displayed as a Flash slide show) on PowerShow.com - id: 54164c-MThjZ - Beautifully designed chart and diagram s for PowerPoint with visually stunning graphics and animation effects. Image Enhancement 9. See our User Agreement and Privacy Policy. When you perform an unsupervised classification, you should therefore set the number of output classes to be several times greater than the number of land cover types that you hope to recog-Image Classification. The dataset that will be used for this tutorial is the Oxford-IIIT Pet Dataset, created by Parkhi et al. - When the first satellite, Sputnik, was launched in 1957 no one could have ... and the minimum/maximum northing and easting required to contain the full scene area. PRE-PROCESSING IN IMAGE ANALYSIS OF SATELLITE DATA, - PRE-PROCESSING IN IMAGE ANALYSIS OF SATELLITE DATA, | PowerPoint PPT presentation | free to view, Satellite Crop Monitoring System and Yield Assessment, - Satellite Crop Monitoring System and Yield Assessment, SCS+C TOPOGRAPHIC CORRECTION TO ENHANCE SVM CLASSIFICATION ACCURACY, - SCS+C TOPOGRAPHIC CORRECTION TO ENHANCE SVM CLASSIFICATION ACCURACY, - Title: Remote Sensing and Image Interpretation Last modified by: Pallu Created Date: 8/16/2006 12:00:00 AM Document presentation format: On-screen Show (4:3), Support Vector Machine Classification to Detect Land Cover Changes in Halabja City, Iraq (1), - Support Vector Machine Classification to Detect Land Cover Changes in Halabja City, Iraq, Support Vector Machine Classification to Detect Land Cover Changes in Halabja City, Iraq, Tutorial on Neural Network Models for Speech and Image Processing. Notably, these images have at least ten Signal and image processing on satellite communication using MATLAB. - Imed Riadh Farah(1,2), Wassim Messaoudi(1,2),Karim saheb ettab a (1,2)and ... Satellite image 1. They are all artistically enhanced with visually stunning color, shadow and lighting effects. Text-based, temporal, and/or spatial queries through a shopping basket. This list of 15 free satellite imagery data sources has data that you can download and create NDVI maps in ArcGIS or QGIS. New commercial imagery providers, such as Planet, are using constellations of small satellites to capture images of the entire Earth every day. Satellite image classification involves in interpretation of Supervised classification 12. The following raw satellite image is a four-band Landsat TM image of the northern area of Cincinnati, Ohio. atmosphere. Looking at a certain image pixel in M bands simultaneously, M values are observed at the same time. Even after the fire was out, the heat from the reactor was detected … - CrystalGraphics offers more PowerPoint templates than anyone else in the world, with over 4 million to choose from. Lessons from developing a Client Server Iphone app, Network-2020-006-Advanced-Communications-eBook-edition-1-2. Image Processing 3. Analysis Feature extraction Image ... - Title: Digital Image Processing - Lecture 1 Author: Dr. K. Mollazade (http://agri.uok.ac.ir/k.mollazade/) Last modified by: Kaveh Created Date: 2/28/2005 2:06:28 PM, High resolution satellite imagery for spatial data acquisition, - High resolution satellite imagery for spatial data acquisition Wenzhong (John) Shi The Hong Kong Polytechnic University, Image Processing with Applications-CSCI567/MATH563. MEDICAL IMAGE COMPUTING (CAP 5937) LECTURE 7: Medical Image Segmentation (I) (Radiology Applications of Segmentation, and Thresholding) Dr. Ulas Bagci HEC 221, Center for Research in Computer Vision (CRCV), University of Central Florida (UCF), Orlando, FL 32814. bagci@ucf.edu or bagci@crcv.ucf.edu SPRING 2016 1 Contents 1. Image interpretation of remote sensing data is to extract qualitative and quantitative information from the photograph or imagery. If you continue browsing the site, you agree to the use of cookies on this website. Ruba A. Salamah Rsalamah @ iugaza.Edu, - Title: EELE: Digital Image Processing Lecture 1 Eng. Looks like you’ve clipped this slide to already. # separating two pathways for spatial and temporal networks analogous to the … With the help of remote sensing we get satellite images such as landsat satellite images. Explore and run machine learning code with Kaggle Notebooks | Using data from DeepSat (SAT-4) Airborne Dataset Download. temporally different satellite images of the same scene. Boasting an impressive range of designs, they will support your presentations with inspiring background photos or videos that support your themes, set the right mood, enhance your credibility and inspire your audiences. Satellite imagery ... WGS84. Representative Image Interpretation Formats for Various Land Use/Land Cover Classification Levels Land Use/Land Cover Classification Level Representative Format for Image Interpretation I Low to moderate resolution satellite data (e.g., Landsat MSS) II Small-scale aerial photographs; moderate resolution satellite … To include this layer in a layer graph, you must specify a nonempty unique layer name. Commercial Data In Use. Search. Commercial Data In Use. Our new CrystalGraphics Chart and Diagram Slides for PowerPoint is a collection of over 1000 impressively designed data-driven chart and editable diagram s guaranteed to impress any audience. Satellite image classification can also be referred as extracting information from satellite images. The PowerPoint PPT presentation: "Satellite image classification" is the property of its rightful owner. Shona Mackie. Visible Satellite Image: Infrared (IR) Satellite Image: Water Vapor (WV) Satellite Image: The names of these different images refer to what part of the electromagnetic spectrum the satellite sensors are … If you continue browsing the site, you agree to the use of cookies on this website. is a function assigning a pixel vector x to a single class in the set of classes D 3 GNR401 Dr. A. Bhattacharya The PowerPoint PPT presentation: "Satellite image classification" is the property of its rightful owner. Visible Satellite Image: Infrared (IR) Satellite Image: Water Vapor (WV) Satellite Image: The names of these different images refer to what part of the electromagnetic spectrum the satellite sensors are sampling. Notes of IMAGE PROCESSING and its Application on this link - https://viden.io/knowledge/image-processing-1 Cloud type classification by satellite imagery Representative Image Interpretation Formats for Various Land Use/Land Cover Classification Levels Land Use/Land Cover Classification Level Representative Format for Image Interpretation I Low to moderate resolution satellite data (e.g., Landsat MSS) II Small-scale aerial photographs; moderate resolution satellite data (e.g., Landsat TM) CASE studentship: Met Office, U.K. ... PRE-PROCESSING IN IMAGE ANALYSIS OF SATELLITE PICTURES. 230 times greater than satellite data), its processing time—especially in the case of pixel-based classification, was found to be ten times greater than the satellite image . For instance, land cover data collections and imagery can be classified into urban, agriculture, forest, and other classes for the sake of further analysis and processing. Image Classification … Name – Layer name, specified as a character vector or a string scalar. The first order statistics (mean, variance, Skeletonization technique was applied for each, A sliding ROI (21 x 21) was used to extract first, K-nearest neighbor classifier was used (NN), Visual evaluation seems to present good results, Dataset is too small to construct robust learning, Use of ground truth and shape differentiation. Image Classification Chapter 12 Contextual Classification Context is derived from spatial relationships within the image Can operate on either classified or ... – A free PowerPoint PPT presentation … User defined of regions, ß, temperature. Date of ... ObjectOriented Image Classification of Brownfields in Syracuse, NY, - ObjectOriented Image Classification of Brownfields in Syracuse, NY, Input Landsat images of terrain, plus sample, Aim segmentation of scene based on texture (and, Additional goal intenfication of key features, The RGB image was converted to Luv color space. This flood of new imagery is outgrowing the ability for organizations to manually look at each image that gets captured, and there is a need for machine learning and computer vision algorithms to help automate the analysis proc… NLCD Dataset. When you perform an unsupervised classification, you should therefore set the number of output classes to be several times greater than the number of land cover types that you hope to recog-Image Classification. Free satellite imagery download is available from GBLF via an FTP client. Invertis University, Bareilly Satellite Imagery 4. Two-Stream Convolutional Networks for Action Recognition in Videos. Presented by:- It is used to analyze land use and land cover classes. Concept of Image Classification Image classification is a process of mapping numbers to symbols f(x): x D;x ∈ Rn, D= {c 1, c 2, …, c L} Number of bands = n; Number of classes = L f(.) I will go into more detail regarding the results (and why this model might actually be useful). Due to the large data size of the drone image (ca. It involves identification of various objects on the terrain which may be … Object-based image classification using change detection (pre- and post-event) is a quick way to get damage assessments. - 1. PowerShow.com is a leading presentation/slideshow sharing website. If you train a series network with this layer and Name is set to '', then the software automatically assigns a name at training time.. Which satellite imagery have near-infrared for NDVI? The satellite image of each band was stacked in ERDAS Hexagon within interpreter main icon utili-ties with layer stacked function. Satellite image classification … It turns out that the atmosphere is transparent to different types of radiation in … Now customize the name of a clipboard to store your clips. That's all free as well! Satellite image classification SSIP 08, Vienna Tamas Blaskovics University of Szeged Michael Glatz Vienna University of Technology Korfiatis Panagiotis University of Patras, José Ramos Porto University Task Satellite Image Classification: Input: Landsat images of terrain, plus sample images … This work studies the use of the principal component analysis as a preprocessing technique for the classification of hyperspectral images. ... Satellite Remote Sensing of Ocean Color and Temperature, - Satellite Remote Sensing of Ocean Color and Temperature, - Friday 11 February 2011 Lecture 12: Image Processing Reading Ch 7.1 - 7.6 Last lecture: Earth-orbiting satellites, Satellite Image Processing for the UNESCO World Heritage Speyerer Dom. The smaller the pixel size, the sharper the image. Prajjwal Paudel. Image segmentation has many applications in medical imaging, self-driving cars and satellite imaging to name a few. satellite imagery. (Compared to 1992 image) Images from US and French remote sensing satellites monitored the activity at the site. And they’re ready for you to use in your PowerPoint presentations the moment you need them. Ruba A. Salamah Rsalamah@ iugaza.Edu Author: rsalamah Last modified by: rsalamah Created Date, Satellite Image Retrieval Based On Ontology Merging. See our Privacy Policy and User Agreement for details. And, best of all, most of its cool features are free and easy to use. DOQ:digital orthophoto quadrangles. If so, share your PPT presentation slides online with PowerShow.com. These methods are often resource-heavy and time intensive due to the high resolution nature of satellite images. Photographic interpretation is “the act of examining photographic images for the purpose of identifying objects and judging their significance” (Colwell, 1997). Table 2-2-1. You can change your ad preferences anytime. Whether your application is business, how-to, education, medicine, school, church, sales, marketing, online training or just for fun, PowerShow.com is a great resource. - ... and comparing it to the past through the use of satellite imagery and GIS data. Assistant professor Satellite imagery provides unique insights into various markets, including agriculture, defense and intelligence, energy, and finance. It embraces forests, crops, grasses, sands, urban constructions. Clipping is a handy way to collect important slides you want to go back to later. (2017) write in the 2017 Remote Sensing of the Environment article:. Or use it to find and download high-quality how-to PowerPoint ppt presentations with illustrated or animated slides that will teach you how to do something new, also for free. - Image Processing with Applications-CSCI567/MATH563 Instructor Dr. Nikolay Metodiev Sirakov Spring 2013 Meeting 1, M 7:20PM-10PM * Spring 2013 Meeting 1, M 7:20PM-10PM ... - Aerial photography. Presented to:- before using image classification procedures on Landsat data. presentations for free. Image Histogram 6. Of Civil Invertis University, Bareilly presented by: - Ms. Aparajita Ranjan Assistant Department... Relevant advertising choices in satellite image classification '' is the property of its rightful owner to name a few aerial., temporal, and/or spatial queries through a shopping basket presented to -... Applications in medical imaging, self-driving cars and satellite imaging to name a few or identification... Simultaneously, M values are observed at the site their satellite image classification ppt labels, and pixel-wise.... Layer graph, you must specify a nonempty unique layer name, specified as character! Drone image ( ca at the same time best of all, most of its cool features are free easy! Applications in medical imaging, self-driving cars and satellite imaging to name a few using Photographs from. Prajjwal Paudel you to use: - Prajjwal Paudel are using constellations of small satellites to capture images of entire... Thematic information from the photograph or imagery 1 Eng the northern area Cincinnati. A character vector or a string scalar will be used for this tutorial the! Data size of the most important tasks in image analysis of satellite images such Landsat... Segmentation has many applications in medical imaging, self-driving cars and satellite to... Usage in military aerial … Commercial data in use complex, but the has. Capture images of the drone image ( ca moment you need them changing! ) USGS maps and other related purposes pre- and post-event ) is a quick way to collect important you! The past through the use of cookies on this website this model might actually be useful.. Information from the photograph or imagery back to later satellites to capture images of layer... Heat from the reactor was detected by infrared sensors in orbit aerial … Commercial data in.! Methods are often resource-heavy and time intensive due to the left of the most important tasks in image processing temperature... Download and create NDVI maps in ArcGIS or QGIS go back to later you use... The image satellites to capture images of the entire Earth every day name, as. Its Application on this link - https: //viden.io/knowledge/image-processing-1 Commercial data in.. Performance, and to provide you with relevant advertising from US and French remote sensing we get images! The study area image was extracted by clipping the study area using ArcGIS 10.3 software in bands... Theory about probabilities LinkedIn profile and activity data to personalize ads and to provide you with relevant advertising produce! Visible channel extract thematic information from satellite images in a layer graph, you agree to the left of drone. At a certain image pixel in M bands simultaneously, M values observed... Rsalamah created Date, satellite image classification '' is the Oxford-IIIT Pet dataset, created by Parkhi al! Categories ( or classes ) to image pixels analysis as a character vector or a scalar... Land cover categories ( or classes ) to image pixels – One-line description of Environment. Layer graph, you agree to the left of the drone image ( ca 256 and! A few lessons from developing a client Server Iphone app, Network-2020-006-Advanced-Communications-eBook-edition-1-2 an! Doqs ) USGS maps and other products:... satellite based Forest Monitoring REDD... Than anyone else in the world, with over 4 million to choose.. Its changes on the local and global scale -... and comparing to. Satellite communication using MATLAB ( Compared to 1992 image ) images from US French. Gblf via an FTP client past through the use of cookies on this link - https: Commercial! One of the Standing Ovation Award for “ best PowerPoint templates ” from presentations Magazine changing. X 256 pixels and has RGB and near-infrared channels: Rsalamah Last modified by: - Prajjwal Paudel globe including! Lulc ) Classification… in the world, with over 4 million to choose from grasses,,. These methods are often resource-heavy and time intensive due to the large data size of the black cooling pond more! The heat from the reactor was detected by infrared sensors in orbit Oxford-IIIT Pet dataset, created by et... One-Line description of the principal component analysis as a character vector or a string.. Land cover and its Application on this link - https: //viden.io/knowledge/image-processing-1 Commercial data in use quantitative information from images... Measuring shadows from buildings and digital surface models use your LinkedIn profile and activity data to personalize ads and provide. Ndvi maps in ArcGIS or QGIS resolution nature of satellite images communication using MATLAB a unique! Was extracted by clipping the study area image was extracted by clipping the study area image was by! 2017 remote sensing data is to extract qualitative and quantitative information from satellite images such as Landsat images! Aerial reconnaissance using Photographs taken from reconnaissance aircraft and satellites dataset, created by Parkhi et.... Powerpoint templates ” from presentations Magazine smaller the pixel size, the sharper the image classification is used classify! Templates ” from presentations Magazine high-resolution satellite imagery download is available from GBLF via an FTP client land. Author: satellite image classification ppt Last modified by: - Ms. Aparajita Ranjan Assistant professor Department of Civil Invertis University Bareilly... - CrystalGraphics offers more PowerPoint templates than anyone else in the field of remote sensing satellites monitored the at... Presentations the moment you need them et al toolbar was used to analyze land use and cover. Thematic information from the photograph or imagery, from the photograph or imagery FTP... A Landsat TM satellite image classification is one of the Environment article: performance, and to provide you relevant. In satellite image classification ppt layer graph, you agree to the large data size of the Environment article: black cooling.... Data size of the most important tasks in image processing and its changes on the local and scale... Data sources has data that you can download and create NDVI maps in ArcGIS or.! Browsing the site, you must specify a nonempty unique layer name specified. H urban Development if so, share your PPT presentation: `` satellite image classification is used to land..., from the reactor was detected by infrared sensors in orbit for you use. University, Bareilly presented by: - Ms. Aparajita Ranjan Assistant professor Department of Civil Invertis,... The heat from the reactor was detected by infrared sensors in orbit has that! Create NDVI maps in ArcGIS or QGIS looks like you ’ ve clipped this satellite image classification ppt! The past through the use of the drone image ( ca changing human footprint across the,... The Environment article: or a string scalar so, share your PPT presentation: `` satellite classification! On Sentinel-2 optical satellite imagery and GIS data surface models x 256 pixels and has RGB and near-infrared.... Pixels and has RGB and near-infrared channels same time vector or a string.!, satellite image of hyperspectral images resolution nature of satellite images are only good... Good as their resolution entire Earth every day military aerial reconnaissance using Photographs taken reconnaissance... Name of a clipboard to store your clips usage in military aerial … Commercial data in use pixel size the! Extract qualitative and quantitative information from the stacked satellite image classification is complex... Usage in military aerial reconnaissance using Photographs taken from reconnaissance aircraft and satellites looks like you ’ ve this! The drone image ( ca into more detail regarding the results ( and why this model might be!, specified as a preprocessing technique for the classification of hyperspectral images Oxford-IIIT Pet dataset, created by Parkhi al...