Publication Date:
2022-01-12
Description:
Abstract
Description:
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.
Description:
SeriesInformation
Description:
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
Keywords:
Other
;
None
;
Change Detection
;
Multi-Scale
;
Structure Analysis
;
Remote Sensing
;
Remote Sensing Methods
Type:
Text
,
Book Section
Format:
2019 Kilobytes
Format:
8 Pages
Format:
PDF
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