The Resource Real-time progressive hyperspectral image processing : endmember finding and anomaly detection, Chein-I Chang

Real-time progressive hyperspectral image processing : endmember finding and anomaly detection, Chein-I Chang

Label
Real-time progressive hyperspectral image processing : endmember finding and anomaly detection
Title
Real-time progressive hyperspectral image processing
Title remainder
endmember finding and anomaly detection
Statement of responsibility
Chein-I Chang
Creator
Author
Subject
Genre
Language
eng
Summary
The book covers the most crucial parts of real-time hyperspectral image processing: causality and real-time capability. Recently, two new concepts of real time hyperspectral image processing, Progressive Hyperspectral Imaging (PHSI) and Recursive Hyperspectral Imaging (RHSI). Both of these can be used to design algorithms and also form an integral part of real time hyperpsectral image processing. This book focuses on progressive nature in algorithms on their real-time and causal processing implementation in two major applications, endmember finding and anomaly detection, both of which are fundamental tasks in hyperspectral imaging but generally not encountered in multispectral imaging. This book is written to particularly address PHSI in real time processing. It includes preliminary background which is essential to those who work in hyperspectral imaging area. It develops sequential and progressive algorithms for finding endmembers as they relate to real time hyperspectral image processing. It designs algorithms for anomaly detection from causality and real time perspectives and investigates the effects of causality and real-time processing in anomaly detection
Cataloging source
N$T
http://library.link/vocab/creatorName
Chang, Chein-I
Dewey number
621.3678
Index
index present
LC call number
TA1637
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
  • Image processing
  • TECHNOLOGY & ENGINEERING
  • Image processing
  • Engineering
  • Signal, Image and Speech Processing
  • Image Processing and Computer Vision
  • Pattern Recognition
  • Biometrics
  • Image processing
  • Pattern recognition
  • Imaging systems & technology
Label
Real-time progressive hyperspectral image processing : endmember finding and anomaly detection, Chein-I Chang
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-1-4419-6187-7
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Overview and introduction -- Linear spectral mixture analysis -- Finding endmembers in hyperspectral imagery -- Linear spectral unmixing with three criteria, least squares error, simplex volume and orthogonal projection -- Hyperspectral target detection -- Fully geometric-constrained sequential endmember finding: simplex volume analysis-based N-FINDR -- Partially geometric-constrained sequential endmember finding: convex cone volume analysis -- Geometric-unconstrained sequential endmember finding: orthogonal projection analysis -- Fully abundance-constrained sequential endmember finding: linear spectral mixture analysis -- Fully geometric-constrained progressive endmember finding: growing simplex volume analysis -- Partially geometric-constrained progressive endmember finding: growing convex cone volume analysis -- Geometric-unconstrained progressive endmember finding: orthogonal projection analysis -- Endmember finding algorithms: comparative studies and analyses -- Anomaly detection characterization -- Anomaly discrimination and categorization -- Anomaly detection and background suppression -- Multiple window anomaly detection -- Anomaly detection using causal sliding windows
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Governing access note
License restrictions may limit access
Isbn
9781441961860
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-1-4419-6187-7
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)945632685
  • (OCoLC)ocn945632685
Label
Real-time progressive hyperspectral image processing : endmember finding and anomaly detection, Chein-I Chang
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-1-4419-6187-7
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Overview and introduction -- Linear spectral mixture analysis -- Finding endmembers in hyperspectral imagery -- Linear spectral unmixing with three criteria, least squares error, simplex volume and orthogonal projection -- Hyperspectral target detection -- Fully geometric-constrained sequential endmember finding: simplex volume analysis-based N-FINDR -- Partially geometric-constrained sequential endmember finding: convex cone volume analysis -- Geometric-unconstrained sequential endmember finding: orthogonal projection analysis -- Fully abundance-constrained sequential endmember finding: linear spectral mixture analysis -- Fully geometric-constrained progressive endmember finding: growing simplex volume analysis -- Partially geometric-constrained progressive endmember finding: growing convex cone volume analysis -- Geometric-unconstrained progressive endmember finding: orthogonal projection analysis -- Endmember finding algorithms: comparative studies and analyses -- Anomaly detection characterization -- Anomaly discrimination and categorization -- Anomaly detection and background suppression -- Multiple window anomaly detection -- Anomaly detection using causal sliding windows
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Governing access note
License restrictions may limit access
Isbn
9781441961860
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-1-4419-6187-7
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)945632685
  • (OCoLC)ocn945632685

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