Multiple observation points setting method based on simulated annealing algorithm
A simulated annealing algorithm and observation point technology, applied in computing, image data processing, instruments, etc., can solve problems such as huge differences in simulation computing complexity
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[0054] The terrain to be processed is: terrain sample 1, grid points 1024*1024
[0055] The number of observation points that need to be set is: 64
[0056] Annealing coefficient λ=0.9
[0057] In the first step, the terrain is divided into 8 equal blocks according to the number of observation points to be set and the size of the terrain to be actually processed. The number of observation points in each block is 64 / 8=8.
[0058] In the second step, 8 observation points are randomly selected in each terrain block, and the viewsheds of all observation points and the visible coverage after the viewsheds are combined are calculated.
[0059]The third step is to use the results obtained in the second step as the initial state, and use the improved simulated annealing algorithm to find the best combination of observation points in each terrain block, and the change of observation points in each terrain block is limited to the terrain inside the block. From this, an approximate gl...
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