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Open AccessArticle

Semi-Automatic System for Land Cover Change Detection Using Bi-Temporal Remote Sensing Images

1
School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048, China
2
Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China
3
Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350116, China
4
Faculty of Electrical and Computer Engineering, University of Iceland, Reykjavik IS 107, Iceland
*
Authors to whom correspondence should be addressed.
Remote Sens. 2017, 9(11), 1112; https://doi.org/10.3390/rs9111112
Received: 18 August 2017 / Revised: 19 October 2017 / Accepted: 23 October 2017 / Published: 31 October 2017
(This article belongs to the Special Issue GIS and Remote Sensing advances in Land Change Science)
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. View Full-Text
Keywords: semi-automatic change detection system; land cover change detection; remote sensing images semi-automatic change detection system; land cover change detection; remote sensing images
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MDPI and ACS Style

Lv, Z.; Shi, W.; Zhou, X.; Benediktsson, J.A. Semi-Automatic System for Land Cover Change Detection Using Bi-Temporal Remote Sensing Images. Remote Sens. 2017, 9, 1112.

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