Multi Sensor and Multi Temporal Remote Sensing is popular PDF and ePub book, written by Anil Kumar in 2023-04-17, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Multi Sensor and Multi Temporal Remote Sensing can be Read Online from any device for your convenience.
Multi Sensor and Multi Temporal Remote Sensing Book PDF 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.
Detail Book of Multi Sensor and Multi Temporal Remote Sensing PDF
- Author : Anil Kumar
- Release : 17 April 2023
- Publisher : CRC Press
- ISBN : 9781000872194
- Genre : Computers
- Total Page : 178 pages
- Language : English
- PDF File Size : 12,9 Mb
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