期刊
SENSORS
卷 18, 期 8, 页码 -出版社
MDPI
DOI: 10.3390/s18082511
关键词
orthorectification; field-programmable gate array (FPGA); rational polynomial coefficient (RPC)
资金
- National Natural Science of China [41431179, 41601365]
- Guangxi Innovative Development Grand Grant [2018AA13005]
- National Key Research and Development Program of China [2016YFB0502501]
- GuangXi Natural Science Foundation [2015GXNSFDA139032]
- Guangxi Science & Technology Development Program [GuiKeHe 14123001-4]
- GuangXi Key Laboratory of Spatial Information and Geomatics Program [GuiKeNeng 163802506, 163802530]
- Natural Science Foundation of Tianjin [14JCYBJC41700]
- National Natural Science Foundation of China [41601446]
- Tianjin Natural Science Foundation [16JCQNJC01200]
Conventional rational polynomial coefficients (RPC)-based orthorectification methods are unable to satisfy the demands of timely responses to terrorist attacks and disaster rescue. To accelerate the orthorectification processing speed, we propose an on-board orthorectification method, i.e., a field-programmable gate array (FPGA)-based fixed-point (FP)-RPC orthorectification method. The proposed RPC algorithm is first modified using fixed-point arithmetic. Then, the FP-RPC algorithm is implemented using an FPGA chip. The proposed method is divided into three main modules: a reading parameters module, a coordinate transformation module, and an interpolation module. Two datasets are applied to validate the processing speed and accuracy that are achievable. Compared to the RPC method implemented using Matlab on a personal computer, the throughputs from the proposed method and the Matlab-based RPC method are 675.67 Mpixels/s and 61,070.24 pixels/s, respectively. This means that the proposed method is approximately 11,000 times faster than the Matlab-based RPC method to process the same satellite images. Moreover, the root-mean-square errors (RMSEs) of the row coordinate (I), column coordinate (J), and the distance Delta S are 0.35 pixels, 0.30 pixels, and 0.46 pixels, respectively, for the first study area; and, for the second study area, they are 0.27 pixels, 0.36 pixels, and 0.44 pixels, respectively, which satisfies the correction accuracy requirements in practice.
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