Object and Pattern Recognition in Remote Sensing : : Modelling and Monitoring Environmental and Anthropogenic Objects and Change Processes.
This is a comprehensive account of the subject covering both concepts and applications, written by a team of international experts.
Saved in:
| : | |
|---|---|
| TeilnehmendeR: | |
| Place / Publishing House: | Dunbeath : : Whittles Publishing Ltd,, 2021. Ã2020. |
| Year of Publication: | 2021 |
| Edition: | 1st ed. |
| Language: | English |
| Online Access: | |
| Physical Description: | 1 online resource (364 pages) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
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.