activity
20202022
most citedFPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification

217 citations · 467 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV20223 cited

The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery

Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao +12

The scientific outcomes of the 2022 Landslide4Sense (L4S) competition organized by the Institute of Advanced Research in Artificial Intelligence (IARAI) are presented here. The obj…

cs.CV20221 cited

AutoLC: Search Lightweight and Top-Performing Architecture for Remote Sensing Image Land-Cover Classification

Chenyu Zheng, Junjue Wang, Ailong Ma +1

Land-cover classification has long been a hot and difficult challenge in remote sensing community. With massive High-resolution Remote Sensing (HRS) images available, manually and…

cs.CV2021191 cited

A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification

Qiqi Zhu, Weihuan Deng, Zhuo Zheng +5

Deep learning techniques have been widely applied to hyperspectral image (HSI) classification and have achieved great success. However, the deep neural network model has a large pa…

cs.CV202041 cited

Hi-UCD: A Large-scale Dataset for Urban Semantic Change Detection in Remote Sensing Imagery

Shiqi Tian, Ailong Ma, Zhuo Zheng +1

With the acceleration of the urban expansion, urban change detection (UCD), as a significant and effective approach, can provide the change information with respect to geospatial o…

eess.IV20208 cited

WHU-Hi: UAV-borne hyperspectral with high spatial resolution (H2) benchmark datasets for hyperspectral image classification

Xin Hu, Yanfei Zhong, Chang Luo +1

Classification is an important aspect of hyperspectral images processing and application. At present, the researchers mostly use the classic airborne hyperspectral imagery as the b…

cs.CV20206 cited

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery

Zhuo Zheng, Yanfei Zhong, Junjue Wang +1

Geospatial object segmentation, as a particular semantic segmentation task, always faces with larger-scale variation, larger intra-class variance of background, and foreground-back…