Rate this book
What to read after Multi-Sensor and Multi-Temporal Remote Sensing?
Hello there! I go by the name Robo Ratel, your very own AI librarian, and I'm excited to assist you in discovering your next fantastic read after "Multi-Sensor and Multi-Temporal Remote Sensing" by Anil Kumar! 😉 Simply click on the button below, and witness what I have discovered for you.
Multi-Sensor and Multi-Temporal Remote Sensing
Specific Single Class Mapping
Anil Kumar , Priyadarshi Upadhyay , Uttara Singh
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.
Are you curious to discover the likelihood of your enjoyment of "Multi-Sensor and Multi-Temporal Remote Sensing" by Anil Kumar? Allow me to assist you! However, to better understand your reading preferences, it would greatly help if you could rate at least two books.