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CRC Press Remote Sensing Image Analysis and Python Algorithms

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Description

The fifth edition of this core textbook from CRC Press provides advanced remote sensing techniques with a focus on statistically motivated, data-driven methods. This updated edition covers essential theoretical substance while introducing modern computational approaches. Readers will find new material on convolutional neural networks, transfer learning, image segmentation, and random forests. The text also includes an extended implementation of sequential change detection using radar satellites. To ensure practical application, the software tools used to apply these algorithms to real remote sensing data are thoroughly up to date. This resource is designed for those needing to apply advanced image analysis, classification, and change detection using Python-based algorithms.

Key Features

This fifth edition textbook from CRC Press focuses on statistically motivated and data-driven techniques for remote sensing image analysis.

New material covers modern topics including convolutional neural networks, transfer learning, and image segmentation.

The text includes updated content on random forests and extended implementation of sequential change detection with radar satellites.

Software tools used to apply algorithms to real remote sensing data are brought thoroughly up to date.

The book provides specific algorithms designed for implementation with Python.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 June 2025
Listed Since
28 November 2024

Barcode

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