activity
20152021
most citedDeep learning in remote sensing: a review

3.2k citations · 9.7k across the 58 of their papers we have counts for

collaborators
Showing eess.IVShow all

7 papers · 1 filter

eess.IV2021★ 1 cited

Binary Change Guided Hyperspectral Multiclass Change Detection

Meiqi Hu, Chen Wu, Bo Du +1

Characterized by tremendous spectral information, hyperspectral image is able to detect subtle changes and discriminate various change classes for change detection. The recent rese…

eess.IV2021★ 26 cited

Hidden Path Selection Network for Semantic Segmentation of Remote Sensing Images

Kunping Yang, Xin-Yi Tong, Gui-Song Xia +2

Targeting at depicting land covers with pixel-wise semantic categories, semantic segmentation in remote sensing images needs to portray diverse distributions over vast geographical…

eess.IV2021★ 65 cited

Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion

Huanfeng Shen, Menghui Jiang, Jie Li +3

In the fields of image restoration and image fusion, model-driven methods and data-driven methods are the two representative frameworks. However, both approaches have their respect…

eess.IV2021★ 181 cited

Super-resolution-based Change Detection Network with Stacked Attention Module for Images with Different Resolutions

Mengxi Liu, Qian Shi, Andrea Marinoni +3

Change detection, which aims to distinguish surface changes based on bi-temporal images, plays a vital role in ecological protection and urban planning. Since high resolution (HR)…

eess.IV2020★ 2 cited

Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution

Jiang He, Jie Li, Qiangqiang Yuan +2

Hyperspectral images are crucial for many research works. Spectral super-resolution (SSR) is a method used to obtain high spatial resolution (HR) hyperspectral images from HR multi…

eess.IV2020★ 1 cited

Hyperspectral Anomaly Change Detection Based on Auto-encoder

Meiqi Hu, Chen Wu, Liangpei Zhang +1

With the hyperspectral imaging technology, hyperspectral data provides abundant spectral information and plays a more important role in geological survey, vegetation analysis and m…

eess.IV2019★ 17 cited

Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Networks

Hongruixuan Chen, Chen Wu, Bo Du +1

Very-high-resolution (VHR) images can provide abundant ground details and spatial geometric information. Change detection in multi-temporal VHR images plays a significant role in u…