A novel object-level change detection method based on multi-scale image segmentation
This page lists the DOI metadata that was entered for this dataset. You can download the dataset.
The full metadata can be seen here.
Feature
Citation
Citation Options
Identification
| Title: | Main Title: A novel object-level change detection method based on multi-scale image segmentation |
| Descriptions: | Abstract: Aiming to improve object fragmentation and poor detection results caused by discontinuous segmentation scales in object-level change detection, a new object-level change detection method based on multi-scale segmentation is presented in this paper. Firstly, a convexity model concept to describe target- background characteristics is proposed. This model is used to implement the convexity model-based multi-scale image segmentation, in order to overcome the shortcoming that traditional single-scale image segmentation can hardly synchronously extract the objects within different scales. And then, a change detection approach by analyzing structural characteristics of image objects is introduced, in order to detect the man-made object. Experiments show that the new method is robust and that it provides an advanced tool for quantitative change detection. Series Information: Proceedings on the Workshop of Remote Sensing Methods for Change Detection and Process Modelling, 18-19 November 2010, University of Cologne, Germany, Kölner Geographische Arbeiten, 92, pp. 143-150 |
| Identifier: | 10.5880/TR32DB.KGA92.18 (DOI) |
| Related Resource: | Is Part Of 0454-1294 (ISBN) |
Responsible Party
| Creators: | Haigan Sui (Author), K. Sun (Author), Jianya Gong (Author), C. Xu (Author), C. Wen (Author) |
| Contributors: | Victoria Lenz-Wiedemann (Editor), Georg Bareth (Editor), Transregional Collaborative Research Centre 32 (Meteorological Institute, University of Bonn) (Data Manager), University of Cologne (Regional Computing Centre (RRZK)) (Hosting Institution) |
| Publisher: | Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten |
| Publication Year: | 2011 |
Topic
| Subjects: | Keywords: Change Detection, Multi-Scale, Structure Analysis, Remote Sensing, Remote Sensing Methods |
File Details
| Filename: | Sui_et_al_2011_KGA92.pdf |
| Data Type: | Text - Book Section |
| Sizes: | 2019 Kilobytes 8 Pages |
| File Size: | 2 MB |
| Dates: | Created: 18.11.2010 Issued: 05.10.2011 |
| Mime Type: | application/pdf |
| Language: | English |
Constraints
| Download Permission: | Free |
| Licence: | [Creative Commons] Attribution 4.0 International (CC BY 4.0) |
Geographic
Metadata Details
| Metadata Creator: | Constanze Curdt |
| Metadata Created: | 05.08.2013 |
| Metadata Last Updated: | 11.05.2021 |
| Subproject: | Z1 |
| Funding Phase: | 2 |
| Metadata Language: | English |
| Metadata Version: | V50 |
Metadata Export
| Metadata Schema: |
Dataset Statistics
| Page Visits: | 470 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 11 |
Dataset Activity
Feature
By downloading this dataset you accept the license terms of [Creative Commons] Attribution 4.0 International (CC BY 4.0) and TR32DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
