红外与毫米波学报, 2010, 29 (3): 236, 网络出版: 2010-07-21
缺失部分方位信息的辐射计阵列有源校正
RADIOMETER ARRAY CALIBRATION WITH PARTIAL SPATIAL INFORMATION MISSING
微波遥感 校正算法 空间响应矩阵 图像模糊 microwave remote sensing calibration algorithm spatial response matrix image blur
摘要
传统的辐射计阵列校正算法需要测量阵列各方位的空间响应矩阵,缺失部分方位信息会导致反演图像模糊.针对这个问题,提出了一种在缺失部分方位信息情况下的改进的校正算法.对实际场景的实验结果表明,改进的校正算法能够有效地抑制因缺失方位信息导致的图像模糊.
Abstract
The spatial response matrix in all directions needs to be measured for the traditional radiometer array calibration algorithm, and the reversed image can be blurred by missing partial spatial information. To solve this problem, an improved calibration algorithm with partial spatial information missing was proposed. Experimental results for the real scene show that the image blur can be restrained effectively by the improved calibration algorithm
张靖, 胡飞, 李青侠, 郭伟, 朱耀庭. 缺失部分方位信息的辐射计阵列有源校正[J]. 红外与毫米波学报, 2010, 29(3): 236. ZHANG Jing, HU Fei, LI Qing-Xia, GUO Wei, ZHU Yao-Ting. RADIOMETER ARRAY CALIBRATION WITH PARTIAL SPATIAL INFORMATION MISSING[J]. Journal of Infrared and Millimeter Waves, 2010, 29(3): 236.