Object Detection in Remote Sensing Images: A Review

In this paper, we address the problem of pre- segmentation for object detection and statistics in remote sensing image processing. It plays an important role in reducing computational burden and increasing efficiency for further image processing and analysis. We follow the paradigm of object detection by Active Contour Method, then imposes structural constraints for the detection of the entire object. We have analyzed the performance of the proposed scheme comprehensively and specifically using some measured data, and carried out comparisons of the existing algorithms. The results show that the proposed scheme could improve the application ability in target detection.

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