Alternative Fuzzy Cluster Segmentation of Remote Sensing Images Based on Adaptive Genetic Algorithm

WANG Jing; TANG Jilong; LIU Jibin; REN Chunying; LIU Xiangnan; FENG Jiang

doi:10.1007/s11769-009-0083-3

Alternative Fuzzy Cluster Segmentation of Remote Sensing Images Based on Adaptive Genetic Algorithm

doi: 10.1007/s11769-009-0083-3

1.
Key Laboratory for Wetland Ecology and Vegetation Restoration of National Environmental Protection, Northeast Normal University, Changchun 130024, China;
2.
Key Laboratory of Vegetation Ecology of Education Ministry, Institute of Grassland Science, Northeast Normal University, Changchun 130024, China;
3.
Changchun University of Science and Technology, Changchun 130022, China;
4.
Urban and Town Plan and Design Institute of Jilin Province, Changchun 130061, China;
5.
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China;
6.
School of Information Engineering, China University of Geosciences, Beijing 100083, China

基金项目: Under the auspices of National Natural Science Foundation of China (No. 30370267);Key Project of Jilin Provincial Science & Technology Department (No. 20075014)

详细信息

通讯作者:
FENG Jiang.E-mail:fengj@nenu.edu.cn

Alternative Fuzzy Cluster Segmentation of Remote Sensing Images Based on Adaptive Genetic Algorithm

1.
Key Laboratory for Wetland Ecology and Vegetation Restoration of National Environmental Protection, Northeast Normal University, Changchun 130024, China;
2.
Key Laboratory of Vegetation Ecology of Education Ministry, Institute of Grassland Science, Northeast Normal University, Changchun 130024, China;
3.
Changchun University of Science and Technology, Changchun 130022, China;
4.
Urban and Town Plan and Design Institute of Jilin Province, Changchun 130061, China;
5.
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China;
6.
School of Information Engineering, China University of Geosciences, Beijing 100083, China

Funds: Under the auspices of National Natural Science Foundation of China (No. 30370267);Key Project of Jilin Provincial Science & Technology Department (No. 20075014)

摘要: Remote sensing image segmentation is the basis of image understanding and analysis. However,the precision and the speed of segmentation can not meet the need of image analysis,due to strong uncertainty and rich texture details of remote sensing images. We proposed a new segmentation method based on Adaptive Genetic Algorithm(AGA) and Alternative Fuzzy C-Means(AFCM). Segmentation thresholds were identified by AGA. Then the image was segmented by AFCM. The results indicate that the precision and the speed of segmentation have been greatly increased,and the accuracy of threshold selection is much higher compared with traditional Otsu and Fuzzy C-Means(FCM) segmentation methods. The segmentation results also show that multi-thresholds segmentation has been achieved by combining AGA with AFCM.
- Adaptive Genetic Algorithm(AGA) /
- Alternative Fuzzy C-Means(AFCM) /
- image segmentation /
- remote sensing
Abstract: Remote sensing image segmentation is the basis of image understanding and analysis. However,the precision and the speed of segmentation can not meet the need of image analysis,due to strong uncertainty and rich texture details of remote sensing images. We proposed a new segmentation method based on Adaptive Genetic Algorithm(AGA) and Alternative Fuzzy C-Means(AFCM). Segmentation thresholds were identified by AGA. Then the image was segmented by AFCM. The results indicate that the precision and the speed of segmentation have been greatly increased,and the accuracy of threshold selection is much higher compared with traditional Otsu and Fuzzy C-Means(FCM) segmentation methods. The segmentation results also show that multi-thresholds segmentation has been achieved by combining AGA with AFCM.
- Adaptive Genetic Algorithm(AGA) /
- Alternative Fuzzy C-Means(AFCM) /
- image segmentation /
- remote sensing

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Alternative Fuzzy Cluster Segmentation of Remote Sensing Images Based on Adaptive Genetic Algorithm

doi: 10.1007/s11769-009-0083-3

通讯作者:
FENG Jiang.E-mail:fengj@nenu.edu.cn

Alternative Fuzzy Cluster Segmentation of Remote Sensing Images Based on Adaptive Genetic Algorithm

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Alternative Fuzzy Cluster Segmentation of Remote Sensing Images Based on Adaptive Genetic Algorithm

doi: 10.1007/s11769-009-0083-3

通讯作者: FENG Jiang.E-mail:fengj@nenu.edu.cn

English Abstract

Alternative Fuzzy Cluster Segmentation of Remote Sensing Images Based on Adaptive Genetic Algorithm

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Alternative Fuzzy Cluster Segmentation of Remote Sensing Images Based on Adaptive Genetic Algorithm

doi: 10.1007/s11769-009-0083-3

通讯作者: FENG Jiang.E-mail:fengj@nenu.edu.cn

Alternative Fuzzy Cluster Segmentation of Remote Sensing Images Based on Adaptive Genetic Algorithm

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Alternative Fuzzy Cluster Segmentation of Remote Sensing Images Based on Adaptive Genetic Algorithm

doi: 10.1007/s11769-009-0083-3

通讯作者: FENG Jiang.E-mail:fengj@nenu.edu.cn

English Abstract

Alternative Fuzzy Cluster Segmentation of Remote Sensing Images Based on Adaptive Genetic Algorithm

全文HTML

目录

通讯作者:
FENG Jiang.E-mail:fengj@nenu.edu.cn