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Hyperspectral Imaging and Applications

Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue "Hyperspectral Imaging and Applications"...

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Bibliographic Details
Main Author:	Chang, Chein-I
Other Authors:	Song, Meiping, Zhang, Junping, Wu, Chao-Cheng
Format:	eBook
Language:	English
Published:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:	Africa Machine Learning Irradiance-based Method Hierarchical Feature Prototype Space 90° Yaw Imaging Successive Lcmv-bss (sc Lcmv-bss) Hyperspectral Images (hsis) Parallel Processing Recursive Anomaly Detection Linearly Constrained Minimum Variance (lcmv) Sprout Detection Hyperspectral Aviris Data Fusion Deep Learning Constrained Energy Minimization Spectral-spatial Classification Constrained Energy Minimization (cem) Minimum Noise Fraction Sparseness Spectral Mixture Analysis Sliding Window Iterative Cem (icem) Water Stress History Of Engineering & Technology / Bicssc Gram–schmidt Orthogonalization Multiscale Spatial Information Raw Material Tree Species Technology: General Issues / Bicssc Structure Tensor Local Abundance Deep Pipelined Background Statistics Hyperspectral Detection Algebraic Multigrid Methods Target Detection Image Fusion Imaging Spectroscopy Hyperspectral Imaging Iterative Algorithm Hyperspectral Imagery Hyperspectral Image Hyperspectral Classification Mineral Mapping Optical Spectral Region Otsu’s Method Data Integration Adaptive Window Semi-supervised Learning Band Selection (bs) Data Unmixing Endmember Extraction Lossy Compression Weighted Least Squares Filter Anomaly Detection Nuclear Norm Hyperspectral Unmixing Semi-supervised Local Discriminant Analysis Fire Severity Band Selection Rotation Forest Deep Belief Networks Label Propagation Correlation Band Expansion Process (cbep) Orthogonal Projections Graph On-board Compression Band Grouping Reflectance-based Method Composite Kernel Tree-based Ensemble Hyperspectral Image Classification Image Enhancement Band Expansion Process (bep) Sparse Coding Airborne Laser Scanning Superpixel Vegetation Type Texture Feature Enhancement Panchromatic Ensemble Learning Nonnegative Matrix Factorization Hashing Ensemble Terrestrial Hyperspectral Imaging Rolling Guidance Filtering (rgf) Sequential Lcmv-bss (sq Lcmv-bss) Progressive Sample Processing (psp) Panchromatic Image In Situ Measurements Vineyard Data-guided Constraints Hymap Evenness Sparse Unmixing Weighted Fusion Hyperspectral Pansharpening Real-time Processing Remote Sensing Svm Ksvd Ahs Hyperspectral Compression Biodiversity Classification High-level Synthesis Multiscale Union Regions Adaptive Sparse Representation (murasr) Vicarious Calibration Hyperspectral Image (hsi) Spectral Variability Thermal Infrared Spectral Region Nonlinear Band Expansion (nbe) Class Imbalance Intrinsic Image Decomposition Agroforestry Band Subset Selection (bss) Dunhuang Site Peatland Local Summation Rx Detector (ls-rxd)
Online Access:	https://directory.doabooks.org/handle/20.500.12854...
Collection:	Directory of Open Access Books - Collection details see MPG.ReNa

Description
Summary:	Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging. The aim of this Special Issue "Hyperspectral Imaging and Applications" is to publish new ideas and technologies to facilitate the utility of hyperspectral imaging in data exploitation and to further explore its potential in different applications. This Special Issue has accepted and published 25 papers in various areas, which can be organized into 7 categories with the number of papers published in every category included in its open parenthesis. 1. Data Unmixing (2 papers)2. Spectral variability (2 papers)3. Target Detection (3 papers)4. Hyperspectral Image Classification (6 papers)5. Band Selection (2 papers)6. Data Fusion (2 papers)7. Applications (8 papers) Under every category each paper is briefly summarized by a short description so that readers can quickly grab its content to find what they are interested in.
Item Description:	Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:	1 electronic resource (632 p.)
ISBN:	9783039215232 books978-3-03921-523-2 9783039215225

Hyperspectral Imaging and Applications

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