Multiple moving ships detection method based on saliency map fusion for GF-4 satellite remote sensing image

doi:10.7523/j.issn.2095-6134.2021.05.009

Abstract

Abstract: The GF-4 satellite is a geostationary-orbit optical remote sensing satellite with the highest resolution in the world. The satellite can incessantly observe the designated area with high temporal resolution, high spatial resolution, and large imaging width. In this paper, a multiple moving ships detection method for GF-4 satellite is proposed. Firstly, the median filtering denoising and non-linear gray-scale stretching are applied to the remote sensing image. Secondly, the saliency map is extracted by the spectral residual (SR) method. Finally, a fusion processing is further performed by adopting the image fusion method based on weighted Dempster-Shafer evidence theory (WDS) to detect ships. Evaluated by the experiment based on real data of GF-4 satellite, it is shown that the proposed method can detect the multiple moving ships accurately and efficiently by the GF-4 satellite image.

Key words: geostationary satellite, GF-4 satellite, ship detection, saliency map fusion, spectral residual

CLC Number:

TP751

WANG Xiaohui, HU Yuxin, LÜ Peng. Multiple moving ships detection method based on saliency map fusion for GF-4 satellite remote sensing image[J]. Journal of University of Chinese Academy of Sciences, 2021, 38(5): 649-659.

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