Object and Pattern Recognition in Remote Sensing : : Modelling and Monitoring Environmental and Anthropogenic Objects and Change Processes.

• Author: Hinz, Stefan.
• TeilnehmendeR: Braun, Andreas.; Weinmann, Professor Martin.
• Place / Publishing House: Dunbeath : : Whittles Publishing Ltd,, 2021.; Ã2020.
• Year of Publication: 2021
• Edition: 1st ed.
• Language: English
• Physical Description: 1 online resource (364 pages)

This is a comprehensive account of the subject covering both concepts and applications, written by a team of international experts.

Table of Contents

Intro -- Part 1 Methodology -- 1 Introduction -- 2 Object, Data and Sensor Modelling -- 3 Feature Extraction from Images and Point Clouds: Fundamentals, Advances and Trends -- 4 A Short Survey on Supervised Classification in Remote Sensing -- 5 Context-based Classification -- 6 Toward a Framework for Quality Assessment in Remote Sensing Applications -- Part 2 Application -- 7 From Raw 3D Point Clouds to Semantic Objects -- 8 Traffic Extraction and Characterisation from Optical Remote Sensing Data -- 9 Object Extraction in Image Sequences -- 10 A Process-based Model Approach to Predict Future Land-use Changes and Link Biodiversity with Soil Erosion in Chile -- 11 Interferometric SAR Image Analysis for 3D Building Reconstruction -- 12 Detection and Classification of Collapsed Buildings after a Strong Earthquake by means of Laser Scanning and Image Analysis -- 13 A Settlement Process Analysis in Coastal Benin: Confronting Scarce Data Availability in Developing Countries -- Part 3 Conclusion -- 14 Benchmarking: A Basic Requirement for Effective Performance Evaluation -- 15 Remote Sensing and Computer Vision Image Analysis: Summary and Recent Trends -- Index.