3.2k citations · 9.7k across the 58 of their papers we have counts for
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A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening
Qiangqiang Yuan, Yancong Wei, Xiangchao Meng +2
Pan-sharpening is a fundamental and significant task in the field of remote sensing imagery processing, in which high-resolution spatial details from panchromatic images are employ…
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Gui-Song Xia, Xiang Bai, Jian Ding +6
Object detection is an important and challenging problem in computer vision. Although the past decade has witnessed major advances in object detection in natural scenes, such succe…
Deep learning in remote sensing: a review
Xiao Xiang Zhu, Devis Tuia, Lichao Mou +4
Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field,…
Estimating regional ground-level PM2.5 directly from satellite top-of-atmosphere reflectance using deep learning
Huanfeng Shen, Tongwen Li, Qiangqiang Yuan +1
Almost all remote sensing atmospheric PM2.5 estimation methods need satellite aerosol optical depth (AOD) products, which are often retrieved from top-of-atmosphere (TOA) reflectan…
The relationships between PM2.5 and meteorological factors in China: Seasonal and regional variations
Qianqian Yang, Qiangqiang Yuan, Tongwen Li +2
The interactions between PM2.5 and meteorological factors play a crucial role in air pollution analysis. However, previous studies that have researched the relationships between PM…
A 33-year NPP monitoring study in southwest China by the fusion of multi-source remote sensing and station data
Xiaobin Guan, Huanfeng Shen, Wenxia Gan +4
Knowledge of regional net primary productivity (NPP) is important for the systematic understanding of the global carbon cycle. In this study, multi-source data were employed to con…
Estimating ground-level PM2.5 by fusing satellite and station observations: A geo-intelligent deep learning approach
Tongwen Li, Huanfeng Shen, Qiangqiang Yuan +2
Fusing satellite observations and station measurements to estimate ground-level PM2.5 is promising for monitoring PM2.5 pollution. A geo-intelligent approach, which incorporates ge…
Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation
Xin-Yi Tong, Gui-Song Xia, Fan Hu +3
Remote sensing (RS) image retrieval is of great significant for geological information mining. Over the past two decades, a large amount of research on this task has been carried o…
Boosting the accuracy of multi-spectral image pan-sharpening by learning a deep residual network
Yancong Wei, Qiangqiang Yuan, Huanfeng Shen +1
In the field of fusing multi-spectral and panchromatic images (Pan-sharpening), the impressive effectiveness of deep neural networks has been recently employed to overcome the draw…
Anisotropic-Scale Junction Detection and Matching for Indoor Images
Nan Xue, Gui-Song Xia, Xiang Bai +2
Junctions play an important role in the characterization of local geometric structures in images, the detection of which is a longstanding and challenging task. Existing junction d…
A multi-task convolutional neural network for mega-city analysis using very high resolution satellite imagery and geospatial data
Fan Zhang, Bo Du, Liangpei Zhang
Mega-city analysis with very high resolution (VHR) satellite images has been drawing increasing interest in the fields of city planning and social investigation. It is known that a…
Texture Characterization by Using Shape Co-occurrence Patterns
Gui-Song Xia, Gang Liu, Xiang Bai +1
Texture characterization is a key problem in image understanding and pattern recognition. In this paper, we present a flexible shape-based texture representation using shape co-occ…
Image Stitching by Line-guided Local Warping with Global Similarity Constraint
Tian-Zhu Xiang, Gui-Song Xia, Xiang Bai +1
Low-textured image stitching remains a challenging problem. It is difficult to achieve good alignment and it is easy to break image structures due to insufficient and unreliable po…