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CRC Press Multi-Sensor and Multi-Temporal Remote Sensing: Specific Single Class Mapping

Name: Multi-Sensor and Multi-Temporal Remote Sensing: Specific Single Class Mapping
Brand: CRC Press
Price: 45.07 GBP
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AI & Machine Learning

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Description

This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The appendix section of the book includes case studies such as mapping crop type, forest species, and stubble burnt paddy fields. Key features: Focuses on use of multi-sensor, multi-temporal data while handling spectral overlap between classes Discusses range of fuzzy/deep learning models capable to extract specific single class and separates noise Describes pre-processing while using spectral, textural, CBSI indices, and back scatter coefficient/Radar Vegetation Index (RVI) Discusses the role of training data to handle the heterogeneity within a class Supports multi-sensor and multi-temporal data processing through in-house SMIC software Includes case studies and practical applications for single class mapping This book is intended for graduate/postgraduate students, research scholars, and professionals working in environmental, geography, computer sciences, remote sensing, geoinformatics, forestry, agriculture, post-disaster, urban transition studies, and other related areas.

Product Specifications

Brand: CRC Press
Format: Paperback
ASIN: 1032446528
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 30 January 2025
Listed Since: 05 December 2024

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CRC Press Multi-Sensor and Multi-Temporal Remote Sensing: Specific Single Class Mapping

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