Object and Pattern Recognition in Remote Sensing.

A comprehensive account of the subject covering both concepts and applications. Written by a team of international experts.

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Bibliographic Details
Main Author: Hinz, Stefan
Format: Electronic eBook
Language:English
Published: Dunbeath : Whittles, 2020.
Subjects:
Online Access: Full text (MFA users only)
ISBN:9781849951289
1849951284
Local Note:ProQuest Ebook Central
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