In this paper, we aim to design a parallel processing system based on economic hardware environment to optimize
photogrammetric process of Leica ADS40 images considering ideas and methods of parallel computing. We adopt
parallel computing PCAM principle to design and implement a test system for parallel processing of ADS40 images. The
test system consists of common personal computers and local gigabits network. It can make full use of network
computing and storage resources under a economical and practical cost to deal with ADS40 images. Experiment shows
that it achieves significant improvement of processing efficiency. Furthermore, the robustness and compatibility of this
system is much higher than stand alone computer system because of system's redundancy based on network. In
conclusion, parallel processing system based on PC network brings us a much more efficiency solution of ADS40's
photogrammetric production.
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