Remote sensing image land feature segmentation method based on lightweight DeepLabV3+
Image Segmentation|更新时间:2024-08-16
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Remote sensing image land feature segmentation method based on lightweight DeepLabV3+
“In the field of remote sensing image land segmentation, experts have proposed an improved DeepLabV3+method based on lightweight networks, which effectively solves the problems of detail information loss and class imbalance, significantly improving segmentation performance and accuracy.”
Chinese Journal of Liquid Crystals and DisplaysVol. 39, Issue 8, Pages: 1001-1013(2024)
作者机构:
1.宁夏大学 电子与电气工程学院, 宁夏 银川 750021
2.宁夏大学 沙漠信息智能感知重点实验室, 宁夏 银川 750021
作者简介:
基金信息:
National Natural Science Foundation of China(62365016)
MA Jing, GUO Zhonghua, MA Zhiqiang, et al. Remote sensing image land feature segmentation method based on lightweight DeepLabV3+[J]. Chinese journal of liquid crystals and displays, 2024, 39(8): 1001-1013.
DOI:
MA Jing, GUO Zhonghua, MA Zhiqiang, et al. Remote sensing image land feature segmentation method based on lightweight DeepLabV3+[J]. Chinese journal of liquid crystals and displays, 2024, 39(8): 1001-1013. DOI: 10.37188/CJLCD.2023-0293.
Remote sensing image land feature segmentation method based on lightweight DeepLabV3+