Hyperspectral Images (HSI)
New Results in Perceptually Lossless Compression of Hyperspectral Images
... Hyperspectral images (HSI) have hundreds of bands, which impose heavy burden on data storage and transmission bandwidth. Quite a few compression techniques have been explored for HSI in the past decades. ...
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Hyperspectral Images Classification via Weighted Spatial Spectral Principle Component Analysis
... the Hyperspectral images (HSI) classification accuracy and to preprocess HSI by fully using the spatial and spectral information, a new spatial-spectral dimensionality reduction method, Weighted Spatial and ...
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Gravitation-based edge detection for hyperspectral images
... multispectral images, they still face difficulties when extracting edge features from hyperspectral images (HSIs) that contain a large number of bands with very narrow gap in the spectral ...
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Gravitation-Based Edge Detection for Hyperspectral Images
... multispectral images, they still face difficulties when extracting edge features from hyperspectral images (HSIs) that contain a large number of bands with very narrow gap in the spectral ...
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Schroedinger Eigenmaps for Manifold Alignment of Multimodal Hyperspectral Images
... components. Hyperspectral images (HSI) definitely fall into this category of big data, however, the success of many land cover classification schemes are at the mercy of labeled ...
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An Efficient Objects Discrimination and Noise Reduction On Hyperspectral Images
... Abstract— Hyperspectral imaging (HSI) combines conventional imaging and spectroscopy to attain both spatial and spectral information from an ...a hyperspectral image limits its application and has a ...
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Estimating the severity of apple mosaic disease with hyperspectral images
... portable hyperspectral imager (Surface Optics ...The hyperspectral image consisted of 128 wavebands within the range of 400-1000 nm and 520×696 ...the hyperspectral images of the leaves were ...
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3D Wavelet Block Tree Coding for Hyperspectral Images
... Abstract: A novel hyperspectral image compression scheme based on set partitioned compression scheme is proposed. This compression scheme uses the 3D wavelet transform to exploits the both, inter sub-band & ...
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Advanced Techniques for Automatic Change Detection in Multitemporal Hyperspectral Images
... sensors, hyperspectral sensors measure the so- lar reflected radiation in a wide wavelength spectrum ...in hyperspectral images, a near-continuous spectral signature is obtained over the whole range ...
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Extraction and Analysis of Farmland Objects in Hyperspectral Images
... The hyperspectral im- ages consist of a sequence of images which are produced by different wavelength radiation of ground scenery ...conventional images, hyperspectral images have ...
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Hyperspectral Images Terrain Classification in Combination Spectrum DLDA Subspace
... AVIRIS hyperspectral image show that, comparing with the spectral DLDA subspace method, the present method can improve the terrain classification ...for hyperspectral images terrain ...
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Spatial and temporal point tracking in real hyperspectral images
... the images consist of targets moving at sub-pixel velocities on a background consisting of evolving clutter and ...of hyperspectral images will be superior to current technologies using broadband IR ...
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Survey on Region Growing Segmentation and Classification for Hyperspectral Images
... of hyperspectral image sector shows a thriving upbeat in innovation of new and novel ...of hyperspectral images puts forth a hectic workload that needs to deal with spatial data imposing large memory ...
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Distributed Source Coding Techniques for Lossless Compression of Hyperspectral Images
... The goal of this paper is to evaluate the performance of DSC coders in a realistic application environment, such as hyperspectral image compression. In particular, we de- sign two DSC coders based on different ...
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Segmentation in dermatological hyperspectral images: dedicated methods
... 31], hyperspectral imaging system [5, 18] or imageJ ...2D images is ...concerning hyperspectral imaging and it was not presented in this use, namely for correction of hyperspectral ...i-th ...
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Mathematical methods for anomaly grouping in hyperspectral images
... reading hyperspectral data from the ground one line at a time for all the required ...radiance images as they offer a uniform starting point for analyzing hyperspectral images since there is ...
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MORPHOLOGICAL SEGMENTATION OF HYPERSPECTRAL IMAGES
... The present paper develops a general methodology for the morphological segmentation of hyperspectral images, i.e., with an important number of channels. This approach, based on watershed, is composed of a ...
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Fast Encoding Decoding of 3D Hyperspectral Images Using a Non Supervised Multimodal Compression Scheme
... phase, hyperspectral images to be compressed are sorted so that those containing less information are con- sidered potentially appropriate to be merged in the re- maining ...smooth images are ...
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A REVIEW ON ?STUDY AND ANALYSIS OF HYPERSPECTRAL IMAGES?
... In hyperspectral remote sensing hyper mean too many wavelength band ...the hyperspectral images there is high correlation between band ...The hyperspectral imagery& multispectral imagery ...
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Spectral non-local restoration of hyperspectral images with low-rank property
... In this paper, we have proposed LRSNL, a simple and effec- tive restoration method for hyperspectral images. In LRSNL, the standard NL algorithm is extended to SNL to take advan- tage of both spectral and ...
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