By Shunlin Liang, Xiaowen Li, Jindi Wang
ISBN-10: 0123859557
ISBN-13: 9780123859556
Complex distant Sensing is an application-based reference that gives a unmarried resource of mathematical options useful for distant sensing facts amassing and assimilation. It provides cutting-edge strategies for estimating land floor variables from various information varieties, together with optical sensors reminiscent of RADAR and LIDAR. Scientists in a couple of assorted fields together with geography, geology, atmospheric technological know-how, environmental technology, planetary technological know-how and ecology can have entry to critically-important data
extraction ideas and their almost limitless purposes. whereas rigorous sufficient for the main skilled of scientists, the concepts are good designed and built-in, making the book’s content material intuitive, basically provided, and functional in its implementation.
* complete evaluation of varied sensible tools and algorithms * special description of the rules and systems 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 through most sensible distant sensing specialists with contributions from authors around the geosciences.
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Extra resources for Advanced Remote Sensing : Terrestrial Information Extraction and Applications
Sample text
GEOMETRIC PROCESSING AND POSITIONING TECHNIQUES processing models can be implemented. This step can eliminate the influence of image distortions on the accuracy of the terrestrial information extracted from satellite imagery. However, the research results on this aspect of imaging remain limited. 2. 1. 1 Coupled Device) array; and the projection mode that the user ultimately selects. Toutin (2004a) suggested that the sources of systematic errors that produce geometric distortions of satellite remote-sensing imagery can be classified into two types: errors from the observation devices (the remote-sensing platform, the sensor, and other measuring devices of the imaging system such as gyroscope and astronomical instruments) and errors that arise from the observed objects (such as atmosphere and earth).
1. 2. 2. 1. 2. 3. 1. 2. 3. 4. 4. 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).
Because outer space is such a harsh environment, the performance of all satellite sensors degrades over time. To achieve consistent and accurate measurements that can be used to detect climatic and environmental change, the DNs need to be transformed into physical quantities. Calibration measurements can be conducted in three stages. Pre-flight calibration measures a sensor’s radiometric properties before that sensor is sent into space. Pre-flight instrument calibration is performed at the instrument builder’s facilities.
Advanced Remote Sensing : Terrestrial Information Extraction and Applications by Shunlin Liang, Xiaowen Li, Jindi Wang
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