遥感图像处理 (Image processing for remote sensing)、信息提取(Information extraction)、不确定性(Uncertainty)研究
There are many spectral bands or band functions developed for land-cover feature measurements. When the ratio of the number of training samples to the number of feature measurements is small, the traditional land-cover classification is not accurate. To solve this kind of problem, decision-theoretic rough set model (DTRSM) can be introduced. This model is linked with distinguishing different types of samples in the image. The samples in the minority classes will be misclassified based on the model. To minimize the misclassification, the improved feature selection algorithm with comprehensive criteria is proposed on processing remotely sensed data. By comparing with other feature selection algorithms, we find that the proposed method can effectively select key features for different data sets and the accuracy of classifiers can be ensured.
《统计学》、《测量学》、《计算机辅助设计》等
1)代表性期刊论文：
[1] Xie F.,
Chen D., Meligrana J., Lin Y., Ren W. Selecting key features for remote sensing
classification by using Decision-Theoretic Rough Set Model [J]. Photogrammetric
Engineering and Remote Sensing, 2013, 79
(9): 787~797.(SCI与EI)
[2] Xie F.,
Lin Y., Ren W. Optimizing model for land use/land cover retrieval from remote
sensing imagery based on variableprecision rough sets [J]. Ecological Modelling, 2011, 222 (2): 232~240. (SCI与EI)
[3] 谢锋, 林怡, 陈映鹰. 基于小波纹理与改进FCM的SAR机场类目标提取[J].同济大学学报,
2009, 37(1): 115~120. (EI)
[4] 谢锋, 陈映鹰, 林怡, 张绍明. SAR图像中道路自动提取的不确定性与仿真[J]. 系统仿真学报, 2009, 21(11): 3489~3493.
[5] 谢锋, 陈鹰, 林怡. 基于小波与数学形态学的道路信息提取[J].计算机工程与应用, 2007, 43(22): 241~243.
[6] 谢锋, 陈映鹰, 林怡. 一种新的SAR影像中目标准确提取方法[J].计算机应用, 2007, 27: 69~74.
会议论文：
[1] Xie F., Lin Y., Chen, Y. Analysis of
uncertain factors in automatic extraction of roads from SAR imagery. The International Archives of the
Photogrammetry, Remote Sensing and Spatial Information
Sciences. Vol. XXXVII. Part B7. Beijing,
2008: 125~130.
[2] Xie F., Chen Y., Lin Y. The Optimizing
method of Fusing SAR with Optical Images for Information Extraction. Mapping without the Sun
Symposium-Technique and Applications of Optical and SAR Imagery Fusion, ISSN 1682-1750, Chengdu,
Sichuan, China, XXXVI (7/C54), 2007: 23~28.
专著：
任文伟, 谢锋. 城市化与水资源保护——平原河网地区土地利用、覆盖变化对水环境的影响研究, 上海大学出版社. 15万字, 2012
常年招收硕士研究生，欢迎有志青年报考！
遥感图像处理 (Image processing for remote sensing)、信息提取(Information extraction)、不确定性(Uncertainty)研究
There are many spectral bands or band functions developed for land-cover feature measurements. When the ratio of the number of training samples to the number of feature measurements is small, the traditional land-cover classification is not accurate. To solve this kind of problem, decision-theoretic rough set model (DTRSM) can be introduced. This model is linked with distinguishing different types of samples in the image. The samples in the minority classes will be misclassified based on the model. To minimize the misclassification, the improved feature selection algorithm with comprehensive criteria is proposed on processing remotely sensed data. By comparing with other feature selection algorithms, we find that the proposed method can effectively select key features for different data sets and the accuracy of classifiers can be ensured.
《统计学》、《测量学》、《计算机辅助设计》等
1)代表性期刊论文：
[1] Xie F.,
Chen D., Meligrana J., Lin Y., Ren W. Selecting key features for remote sensing
classification by using Decision-Theoretic Rough Set Model [J]. Photogrammetric
Engineering and Remote Sensing, 2013, 79
(9): 787~797.(SCI与EI)
[2] Xie F.,
Lin Y., Ren W. Optimizing model for land use/land cover retrieval from remote
sensing imagery based on variableprecision rough sets [J]. Ecological Modelling, 2011, 222 (2): 232~240. (SCI与EI)
[3] 谢锋, 林怡, 陈映鹰. 基于小波纹理与改进FCM的SAR机场类目标提取[J].同济大学学报,
2009, 37(1): 115~120. (EI)
[4] 谢锋, 陈映鹰, 林怡, 张绍明. SAR图像中道路自动提取的不确定性与仿真[J]. 系统仿真学报, 2009, 21(11): 3489~3493.
[5] 谢锋, 陈鹰, 林怡. 基于小波与数学形态学的道路信息提取[J].计算机工程与应用, 2007, 43(22): 241~243.
[6] 谢锋, 陈映鹰, 林怡. 一种新的SAR影像中目标准确提取方法[J].计算机应用, 2007, 27: 69~74.
会议论文：
[1] Xie F., Lin Y., Chen, Y. Analysis of
uncertain factors in automatic extraction of roads from SAR imagery. The International Archives of the
Photogrammetry, Remote Sensing and Spatial Information
Sciences. Vol. XXXVII. Part B7. Beijing,
2008: 125~130.
[2] Xie F., Chen Y., Lin Y. The Optimizing
method of Fusing SAR with Optical Images for Information Extraction. Mapping without the Sun
Symposium-Technique and Applications of Optical and SAR Imagery Fusion, ISSN 1682-1750, Chengdu,
Sichuan, China, XXXVI (7/C54), 2007: 23~28.
专著：
任文伟, 谢锋. 城市化与水资源保护——平原河网地区土地利用、覆盖变化对水环境的影响研究, 上海大学出版社. 15万字, 2012
常年招收硕士研究生，欢迎有志青年报考！