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Title: Semi-automatic system for land cover change detection using bi-temporal remote sensing images
Authors: Lv, ZY
Shi, WZ 
Zhou, XC
Benediktsson, JA
Keywords: Semi-automatic change detection system
Land cover change detection
Remote sensing images
Issue Date: 2017
Publisher: Molecular Diversity Preservation International (MDPI)
Source: Remote sensing, Nov. 2017, v. 9, no. 11, 1112 How to cite?
Journal: Remote sensing 
Abstract: Change detection is an increasingly important research topic in remote sensing application. Previous studies achieved land cover change detection (LCCD) using bi-temporal remote sensing images. However, many widely used methods detected change depending on a series of parameters, and determining parameters is time-consuming. Furthermore, numerous methods are data-dependent. Therefore, their degree of automation should be improved significantly. Three techniques, which consist of a semi-automatic change detection system, are proposed for LCCD to overcome the abovementioned drawbacks. The three techniques are as follows: (1) change magnitude image (CMI) noise reduction is based on Gaussian filter (GF), which is coupled with OTSU for reducing CMI noise automatically using an iterative optimization strategy; (2) a method based on histogram curve fitting is suggested to predict the threshold range for parameter determination; and (3) a modified region growing algorithm is built for iteratively constructing the final change detection map. The detection accuracies of the proposed system are investigated through four experiments with different bi-temporal image scenes. Compared with several widely used change detection methods, the proposed system can be applied to detect land cover change with high accuracy and flexibility. This work is an attempt to provide a change detection system that is compatible with remote sensing images with high and median-low spatial resolution.
EISSN: 2072-4292
DOI: 10.3390/rs9111112
Rights: © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
The following publication Lv, Z., Shi, W., Zhou, X., & Benediktsson, J. A. (2017). Semi-automatic system for land cover change detection using bi-temporal remote sensing images. Remote Sensing, 9(11), 1112 is available at
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