Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data:
Over the last fifty years, a large number of spaceborne and airborne sensors have been employed to gather information regarding the earth's surface and environment. As sensor technology continues to advance, remote sensing data with improved temporal, spectral, and spatial resolution is becomin...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2004
|
| Schlagworte: | |
| Online-Zugang: | BTU01 URL des Erstveröffentlichers |
| Zusammenfassung: | Over the last fifty years, a large number of spaceborne and airborne sensors have been employed to gather information regarding the earth's surface and environment. As sensor technology continues to advance, remote sensing data with improved temporal, spectral, and spatial resolution is becoming more readily available. This widespread availability of enormous amounts of data has necessitated the development of efficient data processing techniques for a wide variety of applications. In particular, great strides have been made in the development of digital image processing techniques for remote sensing data. The goal has been efficient handling of vast amounts of data, fusion of data from diverse sensors, classification for image interpretation, and development of user-friendly products that allow rich visualization. This book presents some new algorithms that have been developed for high dimensional datasets, such as multispectral and hyperspectral imagery. The contents of the book are based primarily on research carried out by some members and alumni of the Sensor Fusion Laboratory at Syracuse University |
| Beschreibung: | 1 Online-Ressource (XV, 323 p) |
| ISBN: | 9783662056059 |
| DOI: | 10.1007/978-3-662-05605-9 |
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| 520 | |a Over the last fifty years, a large number of spaceborne and airborne sensors have been employed to gather information regarding the earth's surface and environment. As sensor technology continues to advance, remote sensing data with improved temporal, spectral, and spatial resolution is becoming more readily available. This widespread availability of enormous amounts of data has necessitated the development of efficient data processing techniques for a wide variety of applications. In particular, great strides have been made in the development of digital image processing techniques for remote sensing data. The goal has been efficient handling of vast amounts of data, fusion of data from diverse sensors, classification for image interpretation, and development of user-friendly products that allow rich visualization. This book presents some new algorithms that have been developed for high dimensional datasets, such as multispectral and hyperspectral imagery. The contents of the book are based primarily on research carried out by some members and alumni of the Sensor Fusion Laboratory at Syracuse University | ||
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| spelling | Varshney, Pramod K. Verfasser aut Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data by Pramod K. Varshney, Manoj K. Arora Berlin, Heidelberg Springer Berlin Heidelberg 2004 1 Online-Ressource (XV, 323 p) txt rdacontent c rdamedia cr rdacarrier Over the last fifty years, a large number of spaceborne and airborne sensors have been employed to gather information regarding the earth's surface and environment. As sensor technology continues to advance, remote sensing data with improved temporal, spectral, and spatial resolution is becoming more readily available. This widespread availability of enormous amounts of data has necessitated the development of efficient data processing techniques for a wide variety of applications. In particular, great strides have been made in the development of digital image processing techniques for remote sensing data. The goal has been efficient handling of vast amounts of data, fusion of data from diverse sensors, classification for image interpretation, and development of user-friendly products that allow rich visualization. This book presents some new algorithms that have been developed for high dimensional datasets, such as multispectral and hyperspectral imagery. The contents of the book are based primarily on research carried out by some members and alumni of the Sensor Fusion Laboratory at Syracuse University Geography Geographical Information Systems/Cartography Signal, Image and Speech Processing Image Processing and Computer Vision Earth Sciences, general Optics, Lasers, Photonics, Optical Devices Electrical Engineering Earth sciences Image processing Geographical information systems Electrical engineering Fernerkundung (DE-588)4016796-3 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Fernerkundung (DE-588)4016796-3 s Bildverarbeitung (DE-588)4006684-8 s 1\p DE-604 Arora, Manoj K. aut Erscheint auch als Druck-Ausgabe 9783642060014 https://doi.org/10.1007/978-3-662-05605-9 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Varshney, Pramod K. Arora, Manoj K. Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data Geography Geographical Information Systems/Cartography Signal, Image and Speech Processing Image Processing and Computer Vision Earth Sciences, general Optics, Lasers, Photonics, Optical Devices Electrical Engineering Earth sciences Image processing Geographical information systems Electrical engineering Fernerkundung (DE-588)4016796-3 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| subject_GND | (DE-588)4016796-3 (DE-588)4006684-8 |
| title | Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data |
| title_auth | Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data |
| title_exact_search | Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data |
| title_full | Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data by Pramod K. Varshney, Manoj K. Arora |
| title_fullStr | Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data by Pramod K. Varshney, Manoj K. Arora |
| title_full_unstemmed | Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data by Pramod K. Varshney, Manoj K. Arora |
| title_short | Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data |
| title_sort | advanced image processing techniques for remotely sensed hyperspectral data |
| topic | Geography Geographical Information Systems/Cartography Signal, Image and Speech Processing Image Processing and Computer Vision Earth Sciences, general Optics, Lasers, Photonics, Optical Devices Electrical Engineering Earth sciences Image processing Geographical information systems Electrical engineering Fernerkundung (DE-588)4016796-3 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| topic_facet | Geography Geographical Information Systems/Cartography Signal, Image and Speech Processing Image Processing and Computer Vision Earth Sciences, general Optics, Lasers, Photonics, Optical Devices Electrical Engineering Earth sciences Image processing Geographical information systems Electrical engineering Fernerkundung Bildverarbeitung |
| url | https://doi.org/10.1007/978-3-662-05605-9 |
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