Author: Xue Ming Gu
Publisher:
ISBN:
Category :
Languages : en
Pages : 170
Book Description
Airborne Imaging Spectrometer Data Compression
Application of Landsat TM and Modular Airborne Imaging Spectrometer (MAIS) Data for Geological Investigations and Mineral Prospection in the Area of Shibaocheng-Changma, Province Gansu, China
Author: Qingxia Lei
Publisher: Herbert Utz Verlag
ISBN: 9783896755261
Category : Geology
Languages : en
Pages : 152
Book Description
Publisher: Herbert Utz Verlag
ISBN: 9783896755261
Category : Geology
Languages : en
Pages : 152
Book Description
Atmospheric Corrections for Hyperspectal Airborne Imaging Spectrometer Data
Author: Jeannette Van Den Bosch
Publisher:
ISBN:
Category :
Languages : en
Pages : 214
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 214
Book Description
Hyperspectral Data Compression
Author: Giovanni Motta
Publisher: Springer Science & Business Media
ISBN: 0387286004
Category : Computers
Languages : en
Pages : 422
Book Description
Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery. Chapter 1 addresses compression architecture, and reviews and compares compression methods. Chapters 2 through 4 focus on lossless compression (where the decompressed image must be bit for bit identical to the original). Chapter 5, contributed by the editors, describes a lossless algorithm based on vector quantization with extensions to near lossless and possibly lossy compression for efficient browning and pure pixel classification. Chapter 6 deals with near lossless compression while. Chapter 7 considers lossy techniques constrained by almost perfect classification. Chapters 8 through 12 address lossy compression of hyperspectral imagery, where there is a tradeoff between compression achieved and the quality of the decompressed image. Chapter 13 examines artifacts that can arise from lossy compression.
Publisher: Springer Science & Business Media
ISBN: 0387286004
Category : Computers
Languages : en
Pages : 422
Book Description
Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery. Chapter 1 addresses compression architecture, and reviews and compares compression methods. Chapters 2 through 4 focus on lossless compression (where the decompressed image must be bit for bit identical to the original). Chapter 5, contributed by the editors, describes a lossless algorithm based on vector quantization with extensions to near lossless and possibly lossy compression for efficient browning and pure pixel classification. Chapter 6 deals with near lossless compression while. Chapter 7 considers lossy techniques constrained by almost perfect classification. Chapters 8 through 12 address lossy compression of hyperspectral imagery, where there is a tradeoff between compression achieved and the quality of the decompressed image. Chapter 13 examines artifacts that can arise from lossy compression.
En Orden de 17 de este mes se sirve el Exmô. Sr. D. Pedro Garibay, nuevo Xefe Supremo de este Reyno, decirme lo siguiente. "Por la separacion del Exmô. Sr. D. Jpseph de Yturrigaray de que se dio noticia ... ha recaido en mí el mando político, el militar y la Presidencia de esta Real Audiencia ..."
Use of an Airborne Imaging Spectrometer as a Transfer Standard for Atmospheric Correction in SPOT HRG Data
Scientific and Technical Aerospace Reports
Data Compression in Spectroscopy
Author: Joseph Dubrovkin
Publisher: Cambridge Scholars Publishing
ISBN: 1527586219
Category : Technology & Engineering
Languages : en
Pages : 372
Book Description
This book summarizes studies and major materials on data compression methods in analytical spectroscopy, including some important topics on imaging. Its rigorous mathematical basis, in-depth detailed description, and numerous examples of the applications in chemistry and physics will be of value for theorists, practitioners, and students specializing in spectroscopy, chemometrics, and analytical chemistry.This text differs from existing brief reviews and articles on this topic in that it forms, for the first time, an overview of all kinds of compression methods in spectroscopy. In addition, it.
Publisher: Cambridge Scholars Publishing
ISBN: 1527586219
Category : Technology & Engineering
Languages : en
Pages : 372
Book Description
This book summarizes studies and major materials on data compression methods in analytical spectroscopy, including some important topics on imaging. Its rigorous mathematical basis, in-depth detailed description, and numerous examples of the applications in chemistry and physics will be of value for theorists, practitioners, and students specializing in spectroscopy, chemometrics, and analytical chemistry.This text differs from existing brief reviews and articles on this topic in that it forms, for the first time, an overview of all kinds of compression methods in spectroscopy. In addition, it.
Advances in Hyperspectral Image Processing Techniques
Author: Chein-I Chang
Publisher: John Wiley & Sons
ISBN: 1119687764
Category : Technology & Engineering
Languages : en
Pages : 612
Book Description
Advances in Hyperspectral Image Processing Techniques Authoritative and comprehensive resource covering recent hyperspectral imaging techniques from theory to applications Advances in Hyperspectral Image Processing Techniques is derived from recent developments of hyperspectral imaging (HSI) techniques along with new applications in the field, covering many new ideas that have been explored and have led to various new directions in the past few years. The work gathers an array of disparate research into one resource and explores its numerous applications across a wide variety of disciplinary areas. In particular, it includes an introductory chapter on fundamentals of HSI and a chapter on extensive use of HSI techniques in satellite on-orbit and on-board processing to aid readers involved in these specific fields. The book’s content is based on the expertise of invited scholars and is categorized into six parts. Part I provides general theory. Part II presents various Band Selection techniques for Hyperspectral Images. Part III reviews recent developments on Compressive Sensing for Hyperspectral Imaging. Part IV includes Fusion of Hyperspectral Images. Part V covers Hyperspectral Data Unmixing. Part VI offers different views on Hyperspectral Image Classification. Specific sample topics covered in Advances in Hyperspectral Image Processing Techniques include: Two fundamental principles of hyperspectral imaging Constrained band selection for hyperspectral imaging and class information-based band selection for hyperspectral image classification Restricted entropy and spectrum properties for hyperspectral imaging and endmember finding in compressively sensed band domain Hyperspectral and LIDAR data fusion, fusion of band selection methods for hyperspectral imaging, and fusion using multi-dimensional information Advances in spectral unmixing of hyperspectral data and fully constrained least squares linear spectral mixture analysis Sparse representation-based hyperspectral image classification; collaborative hyperspectral image classification; class-feature weighted hyperspectral image classification; target detection approach to hyperspectral image classification With many applications beyond traditional remote sensing, ranging from defense and intelligence, to agriculture, to forestry, to environmental monitoring, to food safety and inspection, to medical imaging, Advances in Hyperspectral Image Processing Techniques is an essential resource on the topic for industry professionals, researchers, academics, and graduate students working in the field.
Publisher: John Wiley & Sons
ISBN: 1119687764
Category : Technology & Engineering
Languages : en
Pages : 612
Book Description
Advances in Hyperspectral Image Processing Techniques Authoritative and comprehensive resource covering recent hyperspectral imaging techniques from theory to applications Advances in Hyperspectral Image Processing Techniques is derived from recent developments of hyperspectral imaging (HSI) techniques along with new applications in the field, covering many new ideas that have been explored and have led to various new directions in the past few years. The work gathers an array of disparate research into one resource and explores its numerous applications across a wide variety of disciplinary areas. In particular, it includes an introductory chapter on fundamentals of HSI and a chapter on extensive use of HSI techniques in satellite on-orbit and on-board processing to aid readers involved in these specific fields. The book’s content is based on the expertise of invited scholars and is categorized into six parts. Part I provides general theory. Part II presents various Band Selection techniques for Hyperspectral Images. Part III reviews recent developments on Compressive Sensing for Hyperspectral Imaging. Part IV includes Fusion of Hyperspectral Images. Part V covers Hyperspectral Data Unmixing. Part VI offers different views on Hyperspectral Image Classification. Specific sample topics covered in Advances in Hyperspectral Image Processing Techniques include: Two fundamental principles of hyperspectral imaging Constrained band selection for hyperspectral imaging and class information-based band selection for hyperspectral image classification Restricted entropy and spectrum properties for hyperspectral imaging and endmember finding in compressively sensed band domain Hyperspectral and LIDAR data fusion, fusion of band selection methods for hyperspectral imaging, and fusion using multi-dimensional information Advances in spectral unmixing of hyperspectral data and fully constrained least squares linear spectral mixture analysis Sparse representation-based hyperspectral image classification; collaborative hyperspectral image classification; class-feature weighted hyperspectral image classification; target detection approach to hyperspectral image classification With many applications beyond traditional remote sensing, ranging from defense and intelligence, to agriculture, to forestry, to environmental monitoring, to food safety and inspection, to medical imaging, Advances in Hyperspectral Image Processing Techniques is an essential resource on the topic for industry professionals, researchers, academics, and graduate students working in the field.