565 citations · 1k across the 11 of their papers we have counts for
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Spatio-temporal-spectral-angular observation model that integrates observations from UAV and mobile mapping vehicle for better urban mapping
Zhenfeng Shao, Gui Cheng, Deren Li +3
In a complex urban scene, observation from a single sensor unavoidably leads to voids in observations, failing to describe urban objects in a comprehensive manner. In this paper, w…
GLSD: The Global Large-Scale Ship Database and Baseline Evaluations
Zhenfeng Shao, Jiaming Wang, Lianbing Deng +8
In this paper, we introduce a challenging global large-scale ship database (called GLSD), designed specifically for ship detection tasks. The designed GLSD database includes a tota…
Pan-sharpening via High-pass Modification Convolutional Neural Network
Jiaming Wang, Zhenfeng Shao, Xiao Huang +3
Most existing deep learning-based pan-sharpening methods have several widely recognized issues, such as spectral distortion and insufficient spatial texture enhancement, we propose…
Unsupervised Remote Sensing Super-Resolution via Migration Image Prior
Jiaming Wang, Zhenfeng Shao, Tao Lu +3
Recently, satellites with high temporal resolution have fostered wide attention in various practical applications. Due to limitations of bandwidth and hardware cost, however, the s…
Region Convolutional Features for Multi-Label Remote Sensing Image Retrieval
Weixun Zhou, Xueqing Deng, Zhenfeng Shao
Conventional remote sensing image retrieval (RSIR) systems usually perform single-label retrieval where each image is annotated by a single label representing the most significant…
PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval
Weixun Zhou, Shawn Newsam, Congmin Li +1
Remote sensing image retrieval(RSIR), which aims to efficiently retrieve data of interest from large collections of remote sensing data, is a fundamental task in remote sensing. Ov…
Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval
Weixun Zhou, Shawn Newsam, Congmin Li +1
Learning powerful feature representations for image retrieval has always been a challenging task in the field of remote sensing. Traditional methods focus on extracting low-level h…