Study on Geosynchronous Circular SAR
Hong Wen Lin Yun Tan Wei-xian Wang Yan-ping Xiang Mao-sheng
(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
Guide null
Abstract The concept of Geosynchronous Circular SAR (Geo-CSAR) is introduced in this paper. With the design of the geosynchronous orbit parameters, a near-circular satellite sub-track could be formed to enable the staring imaging mode, which supports the advanced applications for wide-field and 3-D information acquisition under long-term consistent observation. This paper also analyzes Geo-CSAR's imaging formation capabilities, and concludes its attractive advantages over low-earth orbit spaceborne SAR in terms of instantaneous coverage, consistent observing area, 3-D positioning accuracy and etc.. Encouraging expectations for Geo-CSAR thus could be positively predicted in military investigation and disaster monitoring management applications.
Key words : Earth observation
Geosynchronous orbit
Synthetic Aperture Radar (SAR)
Circular SAR (CSAR)
Wide-field consistent observation
3-D imaging
Received: 2015-05-22;
Published: 2015-06-30
Fund: null
Cite this article:
. Study on Geosynchronous Circular SAR[J]. JOURNAL OF RADARS, 2015, 4(3): 241-253.
[1]
Liu Xiangyang, Yang Jungang, Meng Jin, Zhang Xiao, Niu Dezhi. Sparse Three-dimensional Imaging Based on Hough Transform for Forward-looking Array SAR in Low SNR [J]. JOURNAL OF RADARS, 2017, 6(3): 316-323.
[2]
Zhao Junxiang, Liang Xingdong, Li Yanlei. Change Detection in SAR CCD Based on the Likelihood Change Statistics [J]. JOURNAL OF RADARS, 2017, 6(2): 186-194.
[3]
Ding Baiyuan, Wen Gongjian, Yu Liansheng, Ma Conghui. Matching of Attributed Scattering Center and Its Application to Synthetic Aperture Radar Automatic Target Recognition [J]. JOURNAL OF RADARS, 2017, 6(2): 157-166.
[4]
Zeng Lina, Zhou Deyun, Li Xiaoyang, Zhang Kun. Novel SAR Target Detection Algorithm Using Free Training [J]. JOURNAL OF RADARS, 2017, 6(2): 177-185.
[5]
Hu Dingsheng, Qiu Xiaolan, Lei Bin, Xu Feng. Analysis of Crosstalk Impact on the Cloude-decomposition-based Scattering Characteristic [J]. JOURNAL OF RADARS, 2017, 6(2): 221-228.
[6]
Xu Feng, Wang Haipeng, Jin Yaqiu. Deep Learning as Applied in SAR Target Recognition and Terrain Classification [J]. JOURNAL OF RADARS, 2017, 6(2): 136-148.
[7]
Wang Siyu, Gao Xin, Sun Hao, Zheng Xinwei, Sun Xian. An Aircraft Detection Method Based on Convolutional Neural Networks in High-Resolution SAR Images [J]. JOURNAL OF RADARS, 2017, 6(2): 195-203.
[8]
Hu Jingqiu, Liu Falin, Zhou Chongbin, Li Bo, Wang Dongjin. CS-SAR Imaging Method Based on Inverse Omega-K Algorithm(in English) [J]. JOURNAL OF RADARS, 2017, 6(1): 25-33.
[9]
Zhou Yejian, Zhang Lei, Wang Hongxian, Xing Mengdao. Performance Analysis on ISAR Imaging of Space Targets [J]. JOURNAL OF RADARS, 2017, 6(1): 17-24.
[10]
Gu Wenkun, Wang Dangwei, Ma Xiaoyan. Distributed MIMO-ISAR Sub-image Fusion Method [J]. JOURNAL OF RADARS, 2017, 6(1): 90-97.
[11]
Zhang Jingjing, Hong Wen, Yin Qiang. Robust Distributed-target-based Calibration Method for Polarimetric SAR Using Spherically Truncated Covariance Matrix [J]. JOURNAL OF RADARS, 2016, 5(6): 701-710.
[12]
Hong Wen. Hybrid-polarity Architecture Based Polarimetric SAR: Principles and Applications (in Chinese and in English) [J]. JOURNAL OF RADARS, 2016, 5(6): 559-595.
[13]
Sun Xun, Huang Pingping, Tu Shangtan, Yang Xiangli. Polarimetric SAR Image Classification Using Multiple-feature Fusion and Ensemble Learning [J]. JOURNAL OF RADARS, 2016, 5(6): 692-700.
[14]
Hou Liying, Lin Yun, Hong Wen. Three-dimensional Reconstruction Method Study Based on Interferometric Circular SAR [J]. JOURNAL OF RADARS, 2016, 5(5): 538-547.
[15]
Zhao Tuan, Deng Yunkai, Wang Yu, Li Ning, Wang Xiangyu. Processing Sliding Mosaic Mode Data with Modified Full-Aperture Imaging Algorithm Integrating Scalloping Correction [J]. JOURNAL OF RADARS, 2016, 5(5): 548-557.