@inproceedings{d883cb44610e4bd5bcab9f6e300f3043,
title = "Enhanced Harris Hawk Optimized Image Segmentation Model for Unmanned Aerial Vehicle Remote Sensing Scene Segmentation",
abstract = "To give a better approach for unmanned aerial vehicle (UAV) remote sensing image (RSS) segmentation and recognition, a threshold image segmentation (TIS) method based on an enhanced Harris hawks optimization (HHO) is proposed. To improve the optimization performance of the algorithm, directional crossover (DC) and directional variation (DV) are introduced into HHO and XMHHO is proposed. The segmentation model XMHHO-TIS is proposed using histogram and threshold segmentation methods and based on the improved XMHHO for threshold search. The comparative experiment results and analysis demonstrate that the proposed model is superior to seven other similar models in terms of segmentation quality.",
keywords = "Harris hawks optimization, Meta-heuristic, Remote sensing scene, Swarm-intelligence, Threshold image segmentation, Unmanned aerial vehicle (UAV)",
author = "Hang Su and Yongbin Sun and Haibin Duan",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; International Conference on Guidance, Navigation and Control, ICGNC 2024 ; Conference date: 09-08-2024 Through 11-08-2024",
year = "2025",
doi = "10.1007/978-981-96-2224-5\_15",
language = "英语",
isbn = "9789819622238",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "162--169",
editor = "Liang Yan and Haibin Duan and Yimin Deng",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 7",
address = "德国",
}