Automatic small target detection in complex background: a state of-the-art survey

Yuyue Ding; Ze Wang; Bin Li; Guoxia Xu; Lizhen Deng

doi:10.1117/12.2607142

28 October 2021 Automatic small target detection in complex background: a state of-the-art survey

Yuyue Ding, Ze Wang, Bin Li, Guoxia Xu, Lizhen Deng

Proceedings Volume 11884, International Symposium on Artificial Intelligence and Robotics 2021; 118841S (2021) https://doi.org/10.1117/12.2607142
Event: International Symposium on Artificial Intelligence and Robotics 2021, 2021, Fukuoka, Japan

Abstract

For the current problem of small target detection, this paper first sorts out the development and current situation of target detection algorithms, and systematically summarizes the research progress of target detection algorithms on complex ground backgrounds. Secondly, we start with two major categories of hyperspectral small target detection and infrared small target detection, and each category is analyzed from different methods. Then we take the representative algorithm as an example to analyze its detection performance and its application under the actual complex ground background conditions. Finally, we respectively make prospects and predictions for each type of algorithm in the application of complex ground background target detection, which provides a reference for future research on small target detection problems.

Citation Download Citation

Yuyue Ding, Ze Wang, Bin Li, Guoxia Xu, and Lizhen Deng "Automatic small target detection in complex background: a state of-the-art survey", Proc. SPIE 11884, International Symposium on Artificial Intelligence and Robotics 2021, 118841S (28 October 2021); https://doi.org/10.1117/12.2607142

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