Digital Image Processing of Remotely Sensed Data 1st Edition
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Comprehensive Guide to Remote Sensing Image Processing: Covers fundamental concepts, algorithms, and applications of digital image processing for remotely sensed data. Practical Approach with Real-World Examples: Provides step-by-step instructions and case studies to illustrate the practical implementation of image processing techniques. In-Depth Coverage of Image Enhancement and Analysis: Explores various image enhancement techniques, feature extraction methods, and classification algorithms for remote sensing data. Focus on Remote Sensing Applications: Emphasizes the use of image processing for land cover mapping, environmental monitoring, and natural resource management. * Suitable for Students and Practitioners: Written in a clear and accessible style, making it ideal for both undergraduate and graduate students, as well as professionals in the field of remote sensing.
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