MULTI-SENSOR AND MULTI-TEMPORAL REMOTE SENSING : specific single class mapping.
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...
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| Online Access: |
Full Text (via Taylor & Francis) |
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| Main Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
CRC PRESS,
2023.
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| Subjects: |
| Summary: | 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. |
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| Physical Description: | 1 online resource (184 pages) : illustrations (black and white) |
| ISBN: | 9781003373216 1003373216 9781000872194 100087219X 9781000872200 1000872203 |