Title
On-Board Ortho-Rectification for Images Based on an FPGA.
Abstract
The traditional ortho-rectification technique for remotely sensed (RS) images, which is performed on the basis of a ground image processing platform, has been unable to meet timeliness or near timeliness requirements. To solve this problem, this paper presents research on an ortho-rectification technique based on a field programmable gate array (FPGA) platform that can be implemented on board spacecraft for (near) real-time processing. The proposed FPGA-based ortho-rectification method contains three modules, i.e., a memory module, a coordinate transformation module (including the transformation from geodetic coordinates to photo coordinates, and the transformation from photo coordinates to scanning coordinates), and an interpolation module. Two datasets, aerial images located in central Denver, Colorado, USA, and an aerial image from the example dataset of ERDAS IMAGINE 9.2, are used to validate the processing speed and accuracy. Compared to traditional ortho-rectification technology, the throughput from the proposed FPGA-based platform and the personal computer (PC)-based platform are 11,182.3 kilopixels per second and 2582.9 kilopixels per second, respectively. This means that the proposed FPGA-based platform is 4.3 times faster than the PC-based platform for processing the same RS images. In addition, the root-mean-square errors of the planimetric coordinates phi(X) and phi(Y) and the distance phi(S) are 1.09 m, 1.61 m, and 1.93 m, respectively, which can meet the requirements of correction accuracy in practice.
Year
DOI
Venue
2017
10.3390/rs9090874
REMOTE SENSING
Keywords
Field
DocType
ortho-rectification,field programmable gate array (FPGA),hardware implementation
Coordinate system,Geodetic datum,Computer graphics (images),Computer science,Interpolation,Field-programmable gate array,Image processing,Personal computer,Aerial image,Memory module
Journal
Volume
Issue
Citations 
9
9
2
PageRank 
References 
Authors
0.40
18
5
Name
Order
Citations
PageRank
Guoqing Zhou12515.98
Rongting Zhang221.75
Na Liu321.08
Jingjin Huang4124.04
Xiang Zhou562.19