Image analysis, classification and change detection in remote sensing : with algorithms for Python
โ Scribed by Canty, Morton John
- Publisher
- CRC Press/Taylor & Francis Group
- Year
- 2019
- Tongue
- English
- Leaves
- 532
- Edition
- Fourth edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
"This fourth edition is focused on the development and implementation of statistically motivated, data-driven techniques through a tight interweaving of statistical and machine learning theory with algorithms and computer codes. The material is self-contained and illustrated with many programming examples. New in the fourth edition is an in-depth treatment of a recent Wishart distribution-based sequential change ย Read more...
Abstract: "This fourth edition is focused on the development and implementation of statistically motivated, data-driven techniques through a tight interweaving of statistical and machine learning theory with algorithms and computer codes. The material is self-contained and illustrated with many programming examples. New in the fourth edition is an in-depth treatment of a recent Wishart distribution-based sequential change detection algorithm for polarimetric SAR image time series, as well as an introduction to deep learning in the context of supervised land-use classification. It includes Python (open source) versions of all of the main image analysis algorithms making it accessible to all readers"
โฆ Table of Contents
Content: Images, Arrays, and Matrices. Image Statistics. Transformations. Filters, Kernels and Fields. Image Enhancement and Correction. Supervised Classification Part 1. Supervised Classification Part 2. Unsupervised Classification. Change Detection. Mathematical Tools. Efficient Neural Network Training Algorithms. Software
โฆ Subjects
Remote sensing -- Mathematics.;Image analysis -- Mathematics.;Image analysis -- Data processing.;Python (Computer program language)
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