activity
20162025
most citedNearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification

124 citations · 347 across the 28 of their papers we have counts for

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11 papers · 1 filter

eess.IV20251 cited

Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic Segmentation

Feng Gao, Miao Fu, Jingchao Cao +2

Semantic segmentation of high-resolution remote sensing images plays a crucial role in land-use monitoring and urban planning. Recent remarkable progress in deep learning-based met…

eess.IV2024

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection

Ziyi Wang, Feng Gao, Junyu Dong +1

Recently Transformer-based hyperspectral image (HSI) change detection methods have shown remarkable performance. Nevertheless, existing attention mechanisms in Transformers have li…

eess.IV2024

Hierarchical Attention and Parallel Filter Fusion Network for Multi-Source Data Classification

Han Luo, Feng Gao, Junyu Dong +1

Hyperspectral image (HSI) and synthetic aperture radar (SAR) data joint classification is a crucial and yet challenging task in the field of remote sensing image interpretation. Ho…

eess.IV20243 cited

Wavelet-based Bi-dimensional Aggregation Network for SAR Image Change Detection

Jiangwei Xie, Feng Gao, Xiaowei Zhou +1

Synthetic aperture radar (SAR) image change detection is critical in remote sensing image analysis. Recently, the attention mechanism has been widely used in change detection tasks…

eess.IV2024

Arctic Sea Ice Image Super-Resolution Based on Multi-Scale Convolution and Dual-Gating Mechanism

Zhaomin Fang, Wankun Chen, Feng Gao +3

Arctic Sea Ice Concentration (SIC) is the ratio of ice-covered area to the total sea area of the Arctic Ocean, which is a key indicator for maritime activities. Nowadays, we often…

eess.IV2024

Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising

Shuai Hu, Feng Gao, Xiaowei Zhou +2

Hyperspectral image (HSI) denoising is critical for the effective analysis and interpretation of hyperspectral data. However, simultaneously modeling global and local features is r…