遥感技术与应用 2013, Vol. 28 Issue (1): 65-71 DOI: 10.11873/j.issn.1004-0323.2013.1.65 |
图像与数据处理 |
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改进的遗传算法用于极化合成孔径雷达影像非监督分类 |
王刚2,4,余洁1,2,朱腾2,张中山2,3,赵争5
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(1.首都师范大学资源环境与地理信息系统北京市重点实验室,北京 100048;2.武汉大学遥感信息工程学院,湖北 武汉 430079;3.中国电子科技集团第38研究所,安徽 合肥 230031;4.青岛市勘察测绘研究院,山东 青岛 266031;5.中国测绘科学研究院,北京 100039) |
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Researsh on Polarimetric SAR Image Unsupervised Classification based on Improved Genetic Algorithm |
Wang Gang2,4,Yu Jie1,2,Zhu Teng2,Zhang Zhongshan2,3,Zhao Zheng5
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(1.Beijing Key Lab of Resources Environment and Geographic Information System,
Capital Normal University,Beijing 100048,China;
2.School of Remote Sensing and Information Engineering,Wuhan University,Wuhan 430079,China;
3.The 38th Research Institute,China Electronic Technology Group,Hefei 230031,China;
4.Institute of Surveying and Mapping,Qingdao 266031,China;
5.Chinese Academy of Surveying and Mapping,Beijing 100039,China) |
引用本文:
王刚,余洁,朱腾,张中山,赵争. 改进的遗传算法用于极化合成孔径雷达影像非监督分类[J]. 遥感技术与应用, 2013, 28(1): 65-71.
Wang Gang,Yu Jie,Zhu Teng,Zhang Zhongshan,Zhao Zheng. Researsh on Polarimetric SAR Image Unsupervised Classification based on Improved Genetic Algorithm. Remote Sensing Technology and Application, 2013, 28(1): 65-71.
链接本文:
http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2013.1.65
或
http://www.rsta.ac.cn/CN/Y2013/V28/I1/65
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