activity
20182023
most citedAdjacent-Level Feature Cross-Fusion With 3-D CNN for Remote Sensing Image Change Detection

101 citations · 153 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 101 cited

Adjacent-Level Feature Cross-Fusion With 3-D CNN for Remote Sensing Image Change Detection

Yuanxin Ye, Mengmeng Wang, Liang Zhou +3

Deep learning-based change detection (CD) using remote sensing images has received increasing attention in recent years. However, how to effectively extract and fuse the deep featu…

cs.CV2022★ 1 cited

R2FD2: Fast and Robust Matching of Multimodal Remote Sensing Image via Repeatable Feature Detector and Rotation-invariant Feature Descriptor

Bai Zhu, Chao Yang, Jinkun Dai +2

Automatically identifying feature correspondences between multimodal images is facing enormous challenges because of the significant differences both in radiation and geometry. To…

cs.CV2021★ 2 cited

A Multiscale Graph Convolutional Network for Change Detection in Homogeneous and Heterogeneous Remote Sensing Images

Junzheng Wu, Biao Li, Yao Qin +3

Change detection (CD) in remote sensing images has been an ever-expanding area of research. To date, although many methods have been proposed using various techniques, accurately i…

eess.IV2018★ 33 cited

Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification

Yao Qin, Lorenzo Bruzzone, Biao Li

This paper presents a tensor alignment (TA) based domain adaptation method for hyperspectral image (HSI) classification. To be specific, HSIs in both domains are first segmented in…

physics.chem-ph2018★ 16 cited

A local fingerprint for hydrophobicity and hydrophilicity: from methane to peptides

S. Pérez-Conesa, Pablo M. Piaggi, Michele Parrinello

An important characteristic that determines the behavior of a solute in water is whether it is hydrophobic or hydrophilic. The traditional classification is based on chemical exper…