Download Advanced Remote Sensing : Terrestrial Information Extraction by Shunlin Liang, Xiaowen Li, Jindi Wang PDF
By Shunlin Liang, Xiaowen Li, Jindi Wang
Complicated distant Sensing is an application-based reference that offers a unmarried resource of mathematical innovations invaluable for distant sensing facts accumulating and assimilation. It offers state of the art ideas for estimating land floor variables from various information forms, together with optical sensors equivalent to RADAR and LIDAR. Scientists in a few varied fields together with geography, geology, atmospheric technological know-how, environmental technological know-how, planetary technological know-how and ecology can have entry to critically-important data
extraction strategies and their almost limitless purposes. whereas rigorous adequate for the main skilled of scientists, the innovations are good designed and built-in, making the book’s content material intuitive, sincerely offered, and sensible in its implementation.
* accomplished review of varied useful equipment and algorithms * designated description of the foundations and methods of the state of the art algorithms * Real-world case experiences open a number of chapters * greater than 500 full-color figures and tables * Edited by way of most sensible distant sensing specialists with contributions from authors around the geosciences.
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Additional info for Advanced Remote Sensing : Terrestrial Information Extraction and Applications
1. 1. 2. 2. 1. 2. 5. 1. The Concept of the DEM and Structure of the Model 60 51 33 Copyright Ó 2012 Elsevier Inc. All rights reserved. 34 2. 1. 2. 2. 1. 2. 3. 3. 6. 1. 1. 2. 3. 2. 1. 2. 3. 1. 2. 7. Summary The geometric processing and object positioning of remote-sensing imagery are techniques used to map a remote-sensing image into a speciﬁed object-space coordinate system, according to the geometric processing model of a satellite sensor with a few ground control points (GCPs). The purpose is to acquire spatial information about the object in the area covered by the image.
1, we can conclude that the correction value of the image coordinate offset for satellite imagery acquired by a linear-array sensor in the push-broom mode becomes larger along with the distance between the image points and the projection center. This enlargement may 38 2. GEOMETRIC PROCESSING AND POSITIONING TECHNIQUES generate additional upper and lower errors. In addition, to consider the inﬂuence of the earth’s curvature strictly on the positioning accuracy of satellite imagery, it is preferable that the triangulation be performed in the geocentric Cartesian coordinate system or the tangent plane coordinate system.
2. 1. 2. 3. 3. 6. 1. 1. 2. 3. 2. 1. 2. 3. 1. 2. 7. Summary The geometric processing and object positioning of remote-sensing imagery are techniques used to map a remote-sensing image into a speciﬁed object-space coordinate system, according to the geometric processing model of a satellite sensor with a few ground control points (GCPs). The purpose is to acquire spatial information about the object in the area covered by the image. An investigation of the theories and methods of geometric processing as well as the object positioning of remote-sensing imagery is important for accurate geometric processing of satellite remote-sensing imagery and the faster generation of image products in different levels.