18 citations · 38 across the 10 of their papers we have counts for
10 papers
Aquila: A Hierarchically Aligned Visual-Language Model for Enhanced Remote Sensing Image Comprehension
Kaixuan Lu, Ruiqian Zhang, Xiao Huang +1
Recently, large vision language models (VLMs) have made significant strides in visual language capabilities through visual instruction tuning, showing great promise in the field of…
DeepMerge: Deep-Learning-Based Region-Merging for Image Segmentation
Xianwei Lv, Claudio Persello, Wangbin Li +3
Image segmentation aims to partition an image according to the objects in the scene and is a fundamental step in analysing very high spatial-resolution (VHR) remote sensing imagery…
RCDT: Relational Remote Sensing Change Detection with Transformer
Kaixuan Lu, Xiao Huang
Deep learning based change detection methods have received wide attentoion, thanks to their strong capability in obtaining rich features from images. However, existing AI-based CD…
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…
Evaluating the weight sensitivity in AHP-based flood risk estimation models
Hongping Zhang, Zhenfeng Shao, Bin Hua +4
In the analytic hierarchy process (AHP) based flood risk estimation models, it is widely acknowledged that different weighting criteria can lead to different results. In this study…
An extended watershed-based zonal statistical AHP model for flood risk estimation: Constraining runoff converging related indicators by sub-watersheds
Hongping Zhang, Zhenfeng Shao, Jinqi Zhao +4
Floods are highly uncertain events, occurring in different regions, with varying prerequisites and intensities. A highly reliable flood disaster risk map can help reduce the impact…
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…
Monitoring urban ecosystem service value using dynamic multi-level grids
Zhenfeng Shao, Yong Li, Xiao Huang +4
Ecosystem services are the direct and indirect contributions of an ecosystem to human well-being and survival. Ecosystem valuation is a method of assigning a monetary value to an e…