A Method of Object Detection for Remote Sensing Imagery Based on Spectral Space Transformation
WU Gui-ping1, XIAO Peng-feng2, FENG Xue-zhi2, WANG Ke3
1. Nanjing Institute of Geography & Limnology, Chinese Academy of Sciences, Nanjing 210008, China 2. Department of Geographical Information Sciences, Nanjing University, Nanjing 210093, China 3. Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China
Abstract：Object detection is an intermediate link for remote sensing image processing, which is an important guarantee of remote sensing application and services aspects. In view of the characteristics of remotely sensed imagery in frequency domain, a novel object detection algorithm based on spectral space transformation was proposed in the present paper. Firstly, the Fourier transformation method was applied to transform the image in spatial domain into frequency domain. Secondly, the wedge-shaped sample and overlay analysis methods for frequency energy were used to decompose signal into different frequency spectrum zones, and the center frequency values of object’s features were acquired as detection marks in frequency domain. Finally, object information was detected with the matched Gabor filters which have direction and frequency selectivity. The results indicate that the proposed algorithm here performs better and it has good detection capability in specific direction as well.
Key words：Remotely sensed imagery;Object detection;Spectral space transform;Frequency spectrum energy
吴桂平1，肖鹏峰2，冯学智2，王 珂3 . 基于光谱空间变换的遥感图像目标探测方法研究[J]. 光谱学与光谱分析, 2013, 33(03): 741-745.
WU Gui-ping1, XIAO Peng-feng2, FENG Xue-zhi2, WANG Ke3 . A Method of Object Detection for Remote Sensing Imagery Based on Spectral Space Transformation. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(03): 741-745.
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