activity
20182020
most citedSo2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

53 citations · 53 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CV2020

Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives

Gencer Sumbul, Jian Kang, Begüm Demir

This chapter presents recent advances in content based image search and retrieval (CBIR) systems in remote sensing (RS) for fast and accurate information discovery from massive dat…

eess.IV2020

Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration

Jian Kang, Danfeng Hong, Jialin Liu +3

Interferometric phase restoration has been investigated for decades and most of the state-of-the-art methods have achieved promising performances for InSAR phase restoration. These…

eess.SP2020

Multipass SAR Interferometry Based on Total Variation Regularized Robust Low Rank Tensor Decomposition

Jian Kang, Yuanyuan Wang, Xiao Xiang Zhu

Multipass SAR interferometry (InSAR) techniques based on meter-resolution spaceborne SAR satellites, such as TerraSAR-X or COSMO-Skymed, provide 3D reconstruction and the measureme…

cs.CV201953 cited

So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification

Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu +14

Access to labeled reference data is one of the grand challenges in supervised machine learning endeavors. This is especially true for an automated analysis of remote sensing images…

cs.CV2019

Learning Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data

Danfeng Hong, Jocelyn Chanussot, Naoto Yokoya +2

Due to the ever-growing diversity of the data source, multi-modality feature learning has attracted more and more attention. However, most of these methods are designed by jointly…

cs.CV2018

Building Instance Classification Using Street View Images

Jian Kang, Marco Körner, Yuanyuan Wang +2

Land-use classification based on spaceborne or aerial remote sensing images has been extensively studied over the past decades. Such classification is usually a patch-wise or pixel…