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

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Showing 2020Show all

7 papers · 1 filter

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…

cs.CV2020★ 4 cited

Semantic Change Detection with Asymmetric Siamese Networks

Kunping Yang, Gui-Song Xia, Zicheng Liu +4

Given two multi-temporal aerial images, semantic change detection aims to locate the land-cover variations and identify their change types with pixel-wise boundaries. This problem…

cs.CV2020

An Investigation of Traffic Density Changes inside Wuhan during the COVID-19 Epidemic with GF-2 Time-Series Images

Chen Wu, Yinong Guo, Haonan Guo +5

In order to mitigate the spread of COVID-19, Wuhan was the first city to implement strict lockdown policy in 2020. Even though numerous researches have discussed the travel restric…

cs.CV2020★ 7 cited

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID

Yang Long, Gui-Song Xia, Shengyang Li +5

The past years have witnessed great progress on remote sensing (RS) image interpretation and its wide applications. With RS images becoming more accessible than ever before, there…

cs.CV2020★ 1 cited

Holistically-Attracted Wireframe Parsing

Nan Xue, Tianfu Wu, Song Bai +4

This paper presents a fast and parsimonious parsing method to accurately and robustly detect a vectorized wireframe in an input image with a single forward pass. The proposed metho…

physics.ao-ph2020★ 5 cited

Deep learning-based air temperature mapping by fusing remote sensing, station, simulation and socioeconomic data

Huanfeng Shen, Yun Jiang, Tongwen Li +3

Air temperature (Ta) is an essential climatological component that controls and influences various earth surface processes. In this study, we make the first attempt to employ deep…