| 书目名称 | Remote Sensing Image Analysis: Including the Spatial Domain |
| 编辑 | Steven M. De Jong,Freek D. Van der Meer |
| 视频video | |
| 概述 | Follow-up to the previous publication Imaging Spectrometry - Basic Principles and Prospective Applications (2001) by the same Editors.Shift from spectrally based techniques to spatial-based approaches |
| 丛书名称 | Remote Sensing and Digital Image Processing |
| 图书封面 |  |
| 描述 | .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 re |
| 出版日期 | Book 2004 |
| 关键词 | Earth System; LED; digital elevation model; environmental remote sensing; geostatistics; image processing |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4020-2560-0 |
| isbn_softcover | 978-94-017-4061-6 |
| isbn_ebook | 978-1-4020-2560-0Series ISSN 1567-3200 Series E-ISSN 2215-1842 |
| issn_series | 1567-3200 |
| copyright | Springer Science+Business Media Dordrecht 2004 |
发表于 2025-3-21 17:31:21
