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(Proceedings) |
2019 IEEE International Geoscience and Remote Sensing Symposium(IGARSS): 1641-1644 (2019)
Inshore Ship Change Detection Based on Spatial-Temporal Saliency
L Ma
,
W Liu
,
Z Han
,
J Wang
,
H Chen
ABSTRACT
Automatical inshore ship change detection in optical remote sensing images is meaningful for a wide range of applications, but still a challenging task. In this paper, a visual search inspired model is proposed for inshore ship change detection. The proposed model achieves inshore ship change information extraction based on spatial-temporal saliency detection which mimics visual search mechanism. Experimental results performed on a Google Earth optical remote sensing image data set demonstrate the effectiveness of the proposed model in terms of visual and objective evaluations.