Lichao Mou

Mar 4, 2024 | ieeexplore.ieee.org | Julien Mairal |Jocelyn Chanussot |Lichao Mou |Xiao Zhu

Abstract:In recent years, deep learning has emerged as the dominant approach for Hyperspectral Image (HSI) classification. However, deep neural networks require large annotated datasets to generalize well. This limits the applicability of deep learning for real-world HSI classification problems, as manual labeling of thousands of pixels per scene is costly and timeconsuming.

Mar 1, 2024 | ieeexplore.ieee.org | Qingyu Li |Lichao Mou |Yao sun |Yuansheng Hua

Loading [a11y]/accessibility-menu.js A Review of Building Extraction From Remote Sensing Imagery: Geometrical Structures and Semantic Attributes | IEEE Journals & Magazine | IEEE Xplore Skip to Main Content Abstract:In the remote sensing community, extracting buildings from remote sensing imagery has triggered great interest. While many studies have been conducted, a comprehensive re...View more Metadata Abstract: In the remote sensing community, extracting buildings from remote sensing...

Mar 1, 2024 | ieeexplore.ieee.org | Lichao Mou |Yuansheng Hua |Xiao Zhu |Zhenghang Yuan

Loading [a11y]/accessibility-menu.js RRSIS: Referring Remote Sensing Image Segmentation | IEEE Journals & Magazine | IEEE Xplore Skip to Main Content Abstract:Localizing desired objects from remote sensing images is of great use in practical applications. Referring image segmentation, which aims at segmenting out the objects to...View more Metadata Abstract: Localizing desired objects from remote sensing images is of great use in practical applications. Referring image segmentation, which...