Lightweight building extraction network integrating wavelet transform and global awareness
Image Processing|更新时间:2025-09-08
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Lightweight building extraction network integrating wavelet transform and global awareness
“In the field of remote sensing, experts have proposed a lightweight building extraction network that effectively balances computational efficiency and extraction accuracy.”
Chinese Journal of Liquid Crystals and DisplaysVol. 40, Issue 9, Pages: 1333-1346(2025)
作者机构:
1.三峡大学 水电工程智能视觉监测湖北省重点实验室, 湖北 宜昌 443002
2.三峡大学 计算机与信息学院, 湖北 宜昌 443002
3.福州大学 物理与信息工程学院, 福建 福州 350108
作者简介:
基金信息:
National Natural Science Foundation of China(41901341);Natural Science Foundation of Hubei Province(2024AFB867);Hubei Provincial Natural Science Foundation Youth Fund(2024AFB217);Open Fund for Key Laboratory of Geographic State Monitoring of Ministry of Natural Resources(2025NGCM03)
SHAO Wen, SHAO Pan, SONG Baogui, et al. Lightweight building extraction network integrating wavelet transform and global awareness[J]. Chinese journal of liquid crystals and displays, 2025, 40(9): 1333-1346.
DOI:
SHAO Wen, SHAO Pan, SONG Baogui, et al. Lightweight building extraction network integrating wavelet transform and global awareness[J]. Chinese journal of liquid crystals and displays, 2025, 40(9): 1333-1346. DOI: 10.37188/CJLCD.2025-0108. CSTR: 32172.14.CJLCD.2025-0108.
Lightweight building extraction network integrating wavelet transform and global awareness