Lichao Mou - Profile and Journalist Details
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Lichao Mou
Verified
Author, IEEE Transactions on Geoscience and Remote Sensing
Beats
Technology, Gadgets, smartphones, laptops, home appliances, tablets, speakers, headphones, eyewear, TV, projectors, smartwatches
I have the least amount of experience with economic and sports reporting.
Content
Enhancing Contrastive Learning with Positive Pair Mining for Few-shot Hyperspectral Image Classification
By Julien Mairal, Jocelyn Chanussot, Lichao Mou Verified, Xiao Zhu| IEEE@ 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.
A Review of Building Extraction From Remote Sensing Imagery: Geometrical Structures and Semantic Attributes
By Qingyu Li, Lichao Mou Verified, Yao sun, Yuansheng Hua| IEEE@ 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...
Enhancing Contrastive Learning with Positive Pair Mining for Few-shot Hyperspectral Image Classification
By Julien Mairal, Jocelyn Chanussot, Lichao Mou Verified, Xiao Zhu| IEEE@ 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.
Company Info
IEEE Transactions on Geoscience and Remote Sensing
Piscataway Township, New Jersey, United States
+1 212-419-7900