Multi-Sensor and Multi-Temporal Remote Sensing - Specific Single Class Mapping (Hardcover)

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.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Release date:	May 2023
First published:	2023
Authors:	Anil Kumar • Priyadarshi Upadhyay • Uttara Singh
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	148
ISBN-13:	978-1-03-242832-1
Categories:	Books > Computing & IT > General Books > Professional & Technical > Environmental engineering & technology > General Books > Earth & environment > Geography > Human geography > General Books > Professional & Technical > Technology: general issues > Instruments & instrumentation engineering > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	1-03-242832-5
Barcode:	9781032428321

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