Automatic Change Detection Method of Multitemporal Remote Sensing Images Based on 2D-Otsu Algorithm Improved by Firefly Algorithm
This paper presents a new automatic change detection method of multitemporal remote sensing images based on 2D-Otsu algorithm improved by Firefly algorithm. The proposed method is designed to automatically extract the changing area between two temporal remote sensing images. First, two different tem...
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Online Access: | http://dx.doi.org/10.1155/2015/327123 |
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doaj-e1d9e611f7384111b8986bae5162c7bb2020-11-25T01:34:35ZengHindawi LimitedJournal of Sensors1687-725X1687-72682015-01-01201510.1155/2015/327123327123Automatic Change Detection Method of Multitemporal Remote Sensing Images Based on 2D-Otsu Algorithm Improved by Firefly AlgorithmLiang Huang0Yuanmin Fang1Xiaoqing Zuo2Xueqin Yu3Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaFaculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaFaculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, ChinaKunming Surveying and Mapping Institute, Kunming 650051, ChinaThis paper presents a new automatic change detection method of multitemporal remote sensing images based on 2D-Otsu algorithm improved by Firefly algorithm. The proposed method is designed to automatically extract the changing area between two temporal remote sensing images. First, two different temporal remote sensing images were acquired through difference value method of remote sensing images; then, the 2D-Otsu threshold segmentation principles are analyzed and the optimal threshold of 2D-Otsu threshold segmentation method is figured out by using the Firefly algorithm, where the difference images are conducted with binary classification to obtain the changing category and the nonchanging category; finally, the proposed method is used to carry out change detection experiments on the two selected areas, where a variety of methods are compared. Experimental results show that the proposed method can effectively and quickly extract the changing area between the two temporal remote sensing images; thus, it is an effective method of change detection for remote sensing images.http://dx.doi.org/10.1155/2015/327123 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Liang Huang Yuanmin Fang Xiaoqing Zuo Xueqin Yu |
spellingShingle |
Liang Huang Yuanmin Fang Xiaoqing Zuo Xueqin Yu Automatic Change Detection Method of Multitemporal Remote Sensing Images Based on 2D-Otsu Algorithm Improved by Firefly Algorithm Journal of Sensors |
author_facet |
Liang Huang Yuanmin Fang Xiaoqing Zuo Xueqin Yu |
author_sort |
Liang Huang |
title |
Automatic Change Detection Method of Multitemporal Remote Sensing Images Based on 2D-Otsu Algorithm Improved by Firefly Algorithm |
title_short |
Automatic Change Detection Method of Multitemporal Remote Sensing Images Based on 2D-Otsu Algorithm Improved by Firefly Algorithm |
title_full |
Automatic Change Detection Method of Multitemporal Remote Sensing Images Based on 2D-Otsu Algorithm Improved by Firefly Algorithm |
title_fullStr |
Automatic Change Detection Method of Multitemporal Remote Sensing Images Based on 2D-Otsu Algorithm Improved by Firefly Algorithm |
title_full_unstemmed |
Automatic Change Detection Method of Multitemporal Remote Sensing Images Based on 2D-Otsu Algorithm Improved by Firefly Algorithm |
title_sort |
automatic change detection method of multitemporal remote sensing images based on 2d-otsu algorithm improved by firefly algorithm |
publisher |
Hindawi Limited |
series |
Journal of Sensors |
issn |
1687-725X 1687-7268 |
publishDate |
2015-01-01 |
description |
This paper presents a new automatic change detection method of multitemporal remote sensing images based on 2D-Otsu algorithm improved by Firefly algorithm. The proposed method is designed to automatically extract the changing area between two temporal remote sensing images. First, two different temporal remote sensing images were acquired through difference value method of remote sensing images; then, the 2D-Otsu threshold segmentation principles are analyzed and the optimal threshold of 2D-Otsu threshold segmentation method is figured out by using the Firefly algorithm, where the difference images are conducted with binary classification to obtain the changing category and the nonchanging category; finally, the proposed method is used to carry out change detection experiments on the two selected areas, where a variety of methods are compared. Experimental results show that the proposed method can effectively and quickly extract the changing area between the two temporal remote sensing images; thus, it is an effective method of change detection for remote sensing images. |
url |
http://dx.doi.org/10.1155/2015/327123 |
work_keys_str_mv |
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1725071062672080896 |