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20172026
most citedDeep learning in remote sensing: a review

3.2k citations · 3.5k across the 39 of their papers we have counts for

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Showing 2021Show all

12 papers · 1 filter

cs.CV2021

Change Detection Meets Visual Question Answering

Zhenghang Yuan, Lichao Mou, Zhitong Xiong +1

The Earth's surface is continually changing, and identifying changes plays an important role in urban planning and sustainability. Although change detection techniques have been su…

eess.IV2021

Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks

Yao Sun, Lichao Mou, Yuanyuan Wang +2

Building height retrieval from synthetic aperture radar (SAR) imagery is of great importance for urban applications, yet highly challenging owing to the complexity of SAR data. Thi…

cs.CV2021

Segmentation of VHR EO Images using Unsupervised Learning

Sudipan Saha, Lichao Mou, Muhammad Shahzad +1

Semantic segmentation is a crucial step in many Earth observation tasks. Large quantity of pixel-level annotation is required to train deep networks for semantic segmentation. Eart…

cs.CV2021

SCIDA: Self-Correction Integrated Domain Adaptation from Single- to Multi-label Aerial Images

Tianze Yu, Jianzhe Lin, Lichao Mou +3

Most publicly available datasets for image classification are with single labels, while images are inherently multi-labeled in our daily life. Such an annotation gap makes many pre…

cs.CV2021

Bi-Temporal Semantic Reasoning for the Semantic Change Detection in HR Remote Sensing Images

Lei Ding, Haitao Guo, Sicong Liu +3

Semantic change detection (SCD) extends the multi-class change detection (MCD) task to provide not only the change locations but also the detailed land-cover/land-use (LCLU) catego…

cs.CV2021

Self-supervised Audiovisual Representation Learning for Remote Sensing Data

Konrad Heidler, Lichao Mou, Di Hu +5

Many current deep learning approaches make extensive use of backbone networks pre-trained on large datasets like ImageNet, which are then fine-tuned to perform a certain task. In r…