@inproceedings{2172273b4c77425aa9832ed908a00e1f,
title = "A geological key target detection algorithm in complex multisource satellite images",
abstract = "Geological target detection can help people understand and utilize the natural environment by accurately recognizing surface elements like as mountains, rivers, vegetation distribution, and etc. Most current methods use multi-source satellite imagery for geological target detection. However, most algorithms simply stack multi-source images as direct input without performing preliminary information purification. In this paper, we propose that geological target detection can be enhanced with sensitivity to the landform and terrain information which is critical for recognition. To be specific, we design a simple scheme to extract the landform cue and terrain cue from multi-source satellite images, and use them as inputs to build a three-branch landform- and terrain-aware detection framework. We validate the effectiveness of each cue and the advancing performance of our proposed detection framework on the Landslide4Sense dataset via quantitative evaluation and qualitative analysis.",
keywords = "geological target detection, landform cue, terrain cue, three-branch network",
author = "Yaoyao Li and Jingchun Cheng and Weiqi Huang and Fan Zhang",
note = "Publisher Copyright: {\textcopyright} 2025 SPIE. Downloading of the abstract is permitted for personal use only.; 4th International Conference on Image Processing, Object Detection, and Tracking, IPODT 2025 ; Conference date: 19-09-2025 Through 21-09-2025",
year = "2025",
month = dec,
day = "30",
doi = "10.1117/12.3092929",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Yang Zhao and Bao Feng and Lingxia Liao",
booktitle = "Fourth International Conference on Image Processing, Object Detection, and Tracking, IPODT 2025",
address = "美国",
}