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portada Multi-Sensor and Multi-Temporal Remote Sensing
Type
Physical Book
Publisher
Author
Language
English
Pages
148
Format
Hardcover
ISBN13
9781032428321
Edition No.
1

Multi-Sensor and Multi-Temporal Remote Sensing

Anil Kumar; Priyadarshi Upadhyay; Uttara Singh (Author) · Crc Press · Hardcover

Multi-Sensor and Multi-Temporal Remote Sensing - Anil Kumar; Priyadarshi Upadhyay; Uttara Singh

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Synopsis "Multi-Sensor and Multi-Temporal Remote Sensing "

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 individual sample as mean training approach to handle heterogeneity within a class. Appendix section of the book includes case studies such as mapping crop type, forest species, and stubble burnt paddy fields, and so forth.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, Post disaster, Urban transition studies and other related areas.

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