Remote sensing mineralization alteration information extraction based on PCA and SVM optimized by cuckoo algorithm

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Remote sensing mineralization alteration information extraction based on PCA and SVM optimized by cuckoo algorithm
- role：First author第一作者
- Affiliation：
  College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  Key Laboratory of Metallogeny and Mineral Assessment, Ministry of Land and Resources, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China
  Key Laboratory of Geological Information Technology, Ministry of Land and Resources, Beijing 100037, China
  Key Laboratory of Geo-Spatial Information Technology, Ministry of Land and Resources, Chengdu University of Technology, Chengdu 610059, China
  Key Laboratory of Mineral Resources in Western China (Gansu Province), Lanzhou University, Lanzhou 730000, China
  Digital Land Key Laboratory of Jiangxi Province, East China Institute of Technology, Nanchang 330013, China
- Email：nuaaimage@163.com
- Introduction：吴一全，1963年生，男，教授，研究方向为遥感图像处理、分析与理解，目标检测与识别。E-mail：nuaaimage@163.com
Yiquan WU
123456 * ,
- Affiliation：
  College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Donghui SHENG
1 * ,
- Affiliation：
  College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Yang ZHOU
1 *
Vol. 22, Issue 5, Pages: 810-821(2018)
Accepted：16 August 2017 ，
DOI：10.11834/jrs.20187068
Accepted：

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