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Hyperspectral Data Compression And Red Edge Indices: The Effect of Lossy Image Compression for Hyperspectral Data in Retrieving Red Edge Indices - Tapa blanda
Sinopsis
Lossy hyperspectral image compression techniques are widely used to solve the problems of data size. In this book, we evaluate lossy vector quantization and JPEG2000 hyperspectral data compression algorithms using red edge indices as end-products that we want to retrieve from our data. Two airborne hyperspectral data-sets for vegetated areas were tested, one acquired from (AISA) sensor for area in Tambisan, Malaysia and the other data-set acquired from (Hyspex) sensor for agriculture area in Norway. Two red edge products: Vogelmann1 and NDVI red edge indices were retrieved from each original data cube and from their decompressed data cubes. The standard deviation of percentage difference between a product retrieved from an original data cube and that from its decompressed data cube was used as a measure to quantify the impact of compression on end products. The minimum, maximum and average values of the original and compressed data were also used to quantify the differences in the red edge products.
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Reseña del editor
Lossy hyperspectral image compression techniques are widely used to solve the problems of data size. In this book, we evaluate lossy vector quantization and JPEG2000 hyperspectral data compression algorithms using red edge indices as end-products that we want to retrieve from our data. Two airborne hyperspectral data-sets for vegetated areas were tested, one acquired from (AISA) sensor for area in Tambisan, Malaysia and the other data-set acquired from (Hyspex) sensor for agriculture area in Norway. Two red edge products: Vogelmann1 and NDVI red edge indices were retrieved from each original data cube and from their decompressed data cubes. The standard deviation of percentage difference between a product retrieved from an original data cube and that from its decompressed data cube was used as a measure to quantify the impact of compression on end products. The minimum, maximum and average values of the original and compressed data were also used to quantify the differences in the red edge products.
Biografía del autor
I graduated from the University of Jordan with a BSc in Computer Information Systems in 2006. After that i did my MSc in GIS and Remote Sensing from University Putra Malaysia 2008. Currently I am PhD student in the Computer Vision Lab at the Multimedia Department in University Putra Malaysia.
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- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2011
- ISBN 10 3845472227
- ISBN 13 9783845472225
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas88
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Hyperspectral Data Compression And Red Edge Indices
Publicado por
LAP LAMBERT Academic Publishing Sep 2011, 2011
ISBN 10: 3845472227
ISBN 13: 9783845472225
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Lossy hyperspectral image compression techniques are widely used to solve the problems of data size. In this book, we evaluate lossy vector quantization and JPEG2000 hyperspectral data compression algorithms using red edge indices as end-products that we want to retrieve from our data. Two airborne hyperspectral data-sets for vegetated areas were tested, one acquired from (AISA) sensor for area in Tambisan, Malaysia and the other data-set acquired from (Hyspex) sensor for agriculture area in Norway. Two red edge products: Vogelmann1 and NDVI red edge indices were retrieved from each original data cube and from their decompressed data cubes. The standard deviation of percentage difference between a product retrieved from an original data cube and that from its decompressed data cube was used as a measure to quantify the impact of compression on end products. The minimum, maximum and average values of the original and compressed data were also used to quantify the differences in the red edge products. 88 pp. Englisch. Nº de ref. del artículo: 9783845472225
Cantidad disponible: 2 disponibles
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Hyperspectral Data Compression And Red Edge Indices
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845472227
ISBN 13: 9783845472225
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Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Alomari AbdallahI graduated from the University of Jordan with a BSc in Computer Information Systems in 2006. After that i did my MSc in GIS and Remote Sensing from University Putra Malaysia 2008. Currently I am PhD student in the Co. Nº de ref. del artículo: 5484012
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Hyperspectral Data Compression And Red Edge Indices : The Effect of Lossy Image Compression for Hyperspectral Data in Retrieving Red Edge Indices
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845472227
ISBN 13: 9783845472225
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Lossy hyperspectral image compression techniques are widely used to solve the problems of data size. In this book, we evaluate lossy vector quantization and JPEG2000 hyperspectral data compression algorithms using red edge indices as end-products that we want to retrieve from our data. Two airborne hyperspectral data-sets for vegetated areas were tested, one acquired from (AISA) sensor for area in Tambisan, Malaysia and the other data-set acquired from (Hyspex) sensor for agriculture area in Norway. Two red edge products: Vogelmann1 and NDVI red edge indices were retrieved from each original data cube and from their decompressed data cubes. The standard deviation of percentage difference between a product retrieved from an original data cube and that from its decompressed data cube was used as a measure to quantify the impact of compression on end products. The minimum, maximum and average values of the original and compressed data were also used to quantify the differences in the red edge products. Nº de ref. del artículo: 9783845472225
Cantidad disponible: 1 disponibles
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Hyperspectral Data Compression And Red Edge Indices
Publicado por
LAP LAMBERT Academic Publishing Sep 2011, 2011
ISBN 10: 3845472227
ISBN 13: 9783845472225
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Lossy hyperspectral image compression techniques are widely used to solve the problems of data size. In this book, we evaluate lossy vector quantization and JPEG2000 hyperspectral data compression algorithms using red edge indices as end-products that we want to retrieve from our data. Two airborne hyperspectral data-sets for vegetated areas were tested, one acquired from (AISA) sensor for area in Tambisan, Malaysia and the other data-set acquired from (Hyspex) sensor for agriculture area in Norway. Two red edge products: Vogelmann1 and NDVI red edge indices were retrieved from each original data cube and from their decompressed data cubes. The standard deviation of percentage difference between a product retrieved from an original data cube and that from its decompressed data cube was used as a measure to quantify the impact of compression on end products. The minimum, maximum and average values of the original and compressed data were also used to quantify the differences in the red edge products.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. Nº de ref. del artículo: 9783845472225
Cantidad disponible: 2 disponibles
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Hyperspectral Data Compression And Red Edge Indices: The Effect of Lossy Image Compression for Hyperspectral Data in Retrieving Red Edge Indices
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845472227
ISBN 13: 9783845472225
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Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA79638454722276
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