Analysis of High Spatial Resolution Remote Sensing Imagery
An Object Based Approach
This book introduces a framework for analysis of high spatial resolution imagery with an object based approach. Starting with image pre-processing to deal with noise, the book presents a detailed survey of major image segmentation approaches—from simple thresholding to relatively advanced multi-resolution region extraction. Approaches to region indexing and a detailed discussion of classification techniques are presented along with examples of high-resolution image classification for extracting specific objects such as roads, buildings, vegetation, and land use/land cover maps.
Table of Contents
Introduction. Basic Tools and Techniques. A Framework for High Spatial Resolution Image Analysis. Object Based Image Classification. Case Studies. Object Based Image Analysis Using eCognition Software. References. Index.
Krishna Mohan Buddhiraju, Ph.D., is a Professor at the Centre of Studies in Resources Engineering, IIT Bombay, India.
Dr. Biplab Banerjee, a current Post-doc researcher at the Image Group, GreyC Lab, CNRS UMR-6072, Caen, France