Hyperspectral Imaging and Applications

doi:10.3390/books978-3-03921-523-2

dc.contributor.editor	Chang, Chein-I
dc.contributor.editor	Song, Meiping
dc.contributor.editor	Zhang, Junping
dc.contributor.editor	Wu, Chao-Cheng
dc.date.accessioned	2022-08-12T12:44:12Z
dc.date.available	2022-08-12T12:44:12Z
dc.date.issued	2022
dc.identifier	ONIX_20220812_9783039215225_16
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/91137
dc.description.abstract	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.
dc.language	English
dc.subject.classification	bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues
dc.subject.classification	bic Book Industry Communication::T Technology, engineering, agriculture::TB Technology: general issues::TBX History of engineering & technology
dc.subject.other	biodiversity
dc.subject.other	peatland
dc.subject.other	vegetation type
dc.subject.other	classification
dc.subject.other	hyperspectral
dc.subject.other	in situ measurements
dc.subject.other	hyperspectral image (HSI)
dc.subject.other	multiscale union regions adaptive sparse representation (MURASR)
dc.subject.other	multiscale spatial information
dc.subject.other	imaging spectroscopy
dc.subject.other	airborne laser scanning
dc.subject.other	minimum noise fraction
dc.subject.other	class imbalance
dc.subject.other	Africa
dc.subject.other	agroforestry
dc.subject.other	tree species
dc.subject.other	hyperspectral unmixing
dc.subject.other	endmember extraction
dc.subject.other	band selection
dc.subject.other	spectral variability
dc.subject.other	prototype space
dc.subject.other	ensemble learning
dc.subject.other	rotation forest
dc.subject.other	semi-supervised local discriminant analysis
dc.subject.other	optical spectral region
dc.subject.other	thermal infrared spectral region
dc.subject.other	mineral mapping
dc.subject.other	data integration
dc.subject.other	HyMap
dc.subject.other	AHS
dc.subject.other	raw material
dc.subject.other	remote sensing
dc.subject.other	nonnegative matrix factorization
dc.subject.other	data-guided constraints
dc.subject.other	sparseness
dc.subject.other	evenness
dc.subject.other	hashing ensemble
dc.subject.other	hierarchical feature
dc.subject.other	hyperspectral classification
dc.subject.other	band expansion process (BEP)
dc.subject.other	constrained energy minimization (CEM)
dc.subject.other	correlation band expansion process (CBEP)
dc.subject.other	iterative CEM (ICEM)
dc.subject.other	nonlinear band expansion (NBE)
dc.subject.other	Otsu’s method
dc.subject.other	sparse unmixing
dc.subject.other	local abundance
dc.subject.other	nuclear norm
dc.subject.other	hyperspectral detection
dc.subject.other	target detection
dc.subject.other	sprout detection
dc.subject.other	constrained energy minimization
dc.subject.other	iterative algorithm
dc.subject.other	adaptive window
dc.subject.other	hyperspectral imagery
dc.subject.other	recursive anomaly detection
dc.subject.other	local summation RX detector (LS-RXD)
dc.subject.other	sliding window
dc.subject.other	band selection (BS)
dc.subject.other	band subset selection (BSS)
dc.subject.other	hyperspectral image classification
dc.subject.other	linearly constrained minimum variance (LCMV)
dc.subject.other	successive LCMV-BSS (SC LCMV-BSS)
dc.subject.other	sequential LCMV-BSS (SQ LCMV-BSS)
dc.subject.other	vicarious calibration
dc.subject.other	reflectance-based method
dc.subject.other	irradiance-based method
dc.subject.other	Dunhuang site
dc.subject.other	90° yaw imaging
dc.subject.other	terrestrial hyperspectral imaging
dc.subject.other	vineyard
dc.subject.other	water stress
dc.subject.other	machine learning
dc.subject.other	tree-based ensemble
dc.subject.other	progressive sample processing (PSP)
dc.subject.other	real-time processing
dc.subject.other	image fusion
dc.subject.other	hyperspectral image
dc.subject.other	panchromatic image
dc.subject.other	structure tensor
dc.subject.other	image enhancement
dc.subject.other	weighted fusion
dc.subject.other	spectral mixture analysis
dc.subject.other	fire severity
dc.subject.other	AVIRIS
dc.subject.other	deep belief networks
dc.subject.other	deep learning
dc.subject.other	texture feature enhancement
dc.subject.other	band grouping
dc.subject.other	hyperspectral compression
dc.subject.other	lossy compression
dc.subject.other	on-board compression
dc.subject.other	orthogonal projections
dc.subject.other	Gram–Schmidt orthogonalization
dc.subject.other	parallel processing
dc.subject.other	anomaly detection
dc.subject.other	sparse coding
dc.subject.other	KSVD
dc.subject.other	hyperspectral images (HSIs)
dc.subject.other	SVM
dc.subject.other	composite kernel
dc.subject.other	algebraic multigrid methods
dc.subject.other	hyperspectral pansharpening
dc.subject.other	panchromatic
dc.subject.other	intrinsic image decomposition
dc.subject.other	weighted least squares filter
dc.subject.other	spectral-spatial classification
dc.subject.other	label propagation
dc.subject.other	superpixel
dc.subject.other	semi-supervised learning
dc.subject.other	rolling guidance filtering (RGF)
dc.subject.other	graph
dc.subject.other	deep pipelined background statistics
dc.subject.other	high-level synthesis
dc.subject.other	data fusion
dc.subject.other	data unmixing
dc.subject.other	hyperspectral imaging
dc.title	Hyperspectral Imaging and Applications
dc.type	book
oapen.identifier.doi	10.3390/books978-3-03921-523-2
oapen.relation.isPublishedBy	46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn	9783039215225
oapen.relation.isbn	9783039215232
oapen.pages	632
oapen.place.publication	Basel

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