output
19982026
most citedDeep learning in remote sensing: a review

3.2k citations

Showing 2022 · cs.CVShow all

32 papers · 2 filters

cs.CV2022★ 23 cited

NOPE-SAC: Neural One-Plane RANSAC for Sparse-View Planar 3D Reconstruction

Bin Tan, Nan Xue, Tianfu Wu +1

This paper studies the challenging two-view 3D reconstruction in a rigorous sparse-view configuration, which is suffering from insufficient correspondences in the input image pairs…

cs.CV2022★ 103 cited

Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning

Hongruixuan Chen, Naoto Yokoya, Chen Wu +1

Unsupervised multimodal change detection is a practical and challenging topic that can play an important role in time-sensitive emergency applications. To address the challenge tha…

cs.CV2022★ 8 cited

One-Class Risk Estimation for One-Class Hyperspectral Image Classification

Hengwei Zhao, Yanfei Zhong, Xinyu Wang +1

Hyperspectral imagery (HSI) one-class classification is aimed at identifying a single target class from the HSI by using only knowing positive data, which can significantly reduce…

cs.CV2022★ 51 cited

Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning

Nan Xue, Tianfu Wu, Song Bai +4

This article presents Holistically-Attracted Wireframe Parsing (HAWP), a method for geometric analysis of 2D images containing wireframes formed by line segments and junctions. HAW…

cs.CV2022★ 53 cited

Anomaly Detection in Aerial Videos with Transformers

Pu Jin, Lichao Mou, Gui-Song Xia +1

Unmanned aerial vehicles (UAVs) are widely applied for purposes of inspection, search, and rescue operations by the virtue of low-cost, large-coverage, real-time, and high-resoluti…

cs.CV2022★ 16 cited

FuTH-Net: Fusing Temporal Relations and Holistic Features for Aerial Video Classification

Pu Jin, Lichao Mou, Yuansheng Hua +2

Unmanned aerial vehicles (UAVs) are now widely applied to data acquisition due to its low cost and fast mobility. With the increasing volume of aerial videos, the demand for automa…