To improve situations as follows: in the strategies of offshore ship and well platform detection, most masks of sea zones use non-real time shoreline database; targets seeking algorithms lack capability of searching targets in large scale images, a strategy of ship and well platform detection based on optical remote sensing images was proposed. The strategy included building masks of sea zones using morphological operations, determining decision algorithms of targets' existence, and extracting targets' locations based on iterative optimal Threshold Segmentation (TS) in Sliding Windows (SW). Parameters in the decision algorithm and the size of sliding window were analyzed, and the corresponding results were cross validated with that of artificial visual interpretation. The experimental results prove that the absolute accuracy of targets extraction arrives 0.981 while relative accuracy of targets extraction arrives 0.954 with proper parameters set. This strategy shows practical value.
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