Name: Remote Sensing Image Analysis: Including the Spatial Domain (en Inglés)
Price: 324.26 PEN
Availability: InStock
Author: de Jong, Steven M. ; Van Der Meer, Freek D.
ISBN: 9789401740616

portada Remote Sensing Image Analysis: Including the Spatial Domain (en Inglés)

Remote Sensing Image Analysis: Including the Spatial Domain (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

de Jong, Steven M. ; Van Der Meer, Freek D.

Idioma

Inglés

N° páginas

359

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 2.0 cm

Peso

0.53 kg.

ISBN13

9789401740616

Categorías

Geología, geomorfología y la litosfera
Sistemas de información geográfica (sig) y percepción remota
Planificación y gestión urbana y municipal

Remote Sensing Image Analysis: Including the Spatial Domain (en Inglés)

De Jong, Steven M. ; Van Der Meer, Freek D. (Autor) · Springer · Tapa Blanda

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Reseña del libro "Remote Sensing Image Analysis: Including the Spatial Domain (en Inglés)"

Remote Sensing image analysis is mostly done using only spectral information on a pixel by pixel basis. Information captured in neighbouring cells, or information about patterns surrounding the pixel of interest often provides useful supplementary information. This book presents a wide range of innovative and advanced image processing methods for including spatial information, captured by neighbouring pixels in remotely sensed images, to improve image interpretation or image classification. Presented methods include different types of variogram analysis, various methods for texture quantification, smart kernel operators, pattern recognition techniques, image segmentation methods, sub-pixel methods, wavelets and advanced spectral mixture analysis techniques. Apart from explaining the working methods in detail a wide range of applications is presented covering land cover and land use mapping, environmental applications such as heavy metal pollution, urban mapping and geological applications to detect hydrocarbon seeps. The book is meant for professionals, PhD students and graduates who use remote sensing image analysis, image interpretation and image classification in their work related to disciplines such as geography, geology, botany, ecology, forestry, cartography, soil science, engineering and urban and regional planning.