Search Results - "Ji, Shunping"

Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set by Ji, Shunping, Wei, Shiqing, Lu, Meng

“…The application of the convolutional neural network has shown to greatly improve the accuracy of building extraction from remote sensing imagery. In this…”
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Automatic 3D building reconstruction from multi-view aerial images with deep learning by Yu, Dawen, Ji, Shunping, Liu, Jin, Wei, Shiqing

“…The study presented in this paper introduced a new fully automatic three-dimensional building reconstruction method that can generate first level of detail…”
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Building Instance Change Detection from Large-Scale Aerial Images using Convolutional Neural Networks and Simulated Samples by Ji, Shunping, Shen, Yanyun, Lu, Meng, Zhang, Yongjun

“…We present a novel convolutional neural network (CNN)-based change detection framework for locating changed building instances as well as changed building…”
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3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images by Ji, Shunping, Zhang, Chi, Xu, Anjian, Shi, Yun, Duan, Yulin

“…This study describes a novel three-dimensional (3D) convolutional neural networks (CNN) based method that automatically classifies crops from spatio-temporal…”
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Landslide detection from an open satellite imagery and digital elevation model dataset using attention boosted convolutional neural networks by Ji, Shunping, Yu, Dawen, Shen, Chaoyong, Li, Weile, Xu, Qiang

“…Convolution neural network (CNN) is an effective and popular deep learning method which automatically learns complicated non-linear mapping from original…”
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Detecting Large-Scale Urban Land Cover Changes from Very High Resolution Remote Sensing Images Using CNN-Based Classification by Zhang, Chi, Wei, Shiqing, Ji, Shunping, Lu, Meng

“…The study investigates land use/cover classification and change detection of urban areas from very high resolution (VHR) remote sensing images using deep…”
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CNN, RNN, or ViT? An Evaluation of Different Deep Learning Architectures for Spatio-Temporal Representation of Sentinel Time Series by Zhao, Linying, Ji, Shunping

“…Rich information in multitemporal satellite images can facilitate pixel-level land cover classification. However, what is the most suitable deep learning…”
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Grid Based Spherical CNN for Object Detection from Panoramic Images by Yu, Dawen, Ji, Shunping

“…Recently proposed spherical convolutional neural networks (SCNNs) have shown advantages over conventional planar CNNs on classifying spherical images. However,…”
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Adaptive and Anti-Drift Motion Constraints for Object Tracking in Satellite Videos by Fan, Junyu, Ji, Shunping

“…Object tracking in satellite videos has garnered significant attention due to its increasing importance. However, several challenging attributes, such as the…”
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Efficient Structure from Motion for Large-Size Videos from an Open Outdoor UAV Dataset by Xiang, Ruilin, Chen, Jiagang, Ji, Shunping

“…Modern UAVs (unmanned aerial vehicles) equipped with video cameras can provide large-scale high-resolution video data. This poses significant challenges for…”
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Rich CNN Features for Water-Body Segmentation from Very High Resolution Aerial and Satellite Imagery by Zhang, Zhili, Lu, Meng, Ji, Shunping, Yu, Huafen, Nie, Chenhui

“…Extracting water-bodies accurately is a great challenge from very high resolution (VHR) remote sensing imagery. The boundaries of a water body are commonly…”
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Multi-Scale Attentive Aggregation for LiDAR Point Cloud Segmentation by Geng, Xiaoxiao, Ji, Shunping, Lu, Meng, Zhao, Lingli

“…Semantic segmentation of LiDAR point clouds has implications in self-driving, robots, and augmented reality, among others. In this paper, we propose a…”
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A diverse large-scale building dataset and a novel plug-and-play domain generalization method for building extraction by Luo, Muying, Ji, Shunping, Wei, Shiqing

“…In this paper, we introduce a new building dataset and propose a novel domain generalization method to facilitate the development of building extraction from…”
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Gated Convolutional Networks for Cloud Removal From Bi-Temporal Remote Sensing Images by Dai, Peiyu, Ji, Shunping, Zhang, Yongjun

“…Pixels of clouds and cloud shadows in a remote sensing image impact image quality, image interpretation, and subsequent applications. In this paper, we propose…”
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Line-Based Registration of Panoramic Images and LiDAR Point Clouds for Mobile Mapping by Cui, Tingting, Ji, Shunping, Shan, Jie, Gong, Jianya, Liu, Kejian

“…For multi-sensor integrated systems, such as the mobile mapping system (MMS), data fusion at sensor-level, i.e., the 2D-3D registration between an optical…”
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ParallelTracker: A Transformer Based Object Tracker for UAV Videos by Wei, Haoran, Wan, Gang, Ji, Shunping

“…Efficient object detection and tracking from remote sensing video data acquired by unmanned aerial vehicles (UAVs) has significant implications in various…”
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Roof Plane Segmentation From LiDAR Point Cloud Data Using Region Expansion Based L0 Gradient Minimization and Graph Cut by Wang, Xuan, Ji, Shunping

“…Automatic roof segmentation from airborne light detection and ranging (LiDAR) point cloud data is a key technology for building reconstruction and digital city…”
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A Learnable Joint Spatial and Spectral Transformation for High Resolution Remote Sensing Image Retrieval by Wang, Yameng, Ji, Shunping, Zhang, Yongjun

“…Geometric and spectral distortions of remote sensing images are key obstacles for deep learning-based supervised classification and retrieval, which are…”
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Deep Learning Method of Landslide Inventory Map with Imbalanced Samples in Optical Remote Sensing by Chen, Xuerong, Zhao, Chaoying, Xi, Jiangbo, Lu, Zhong, Ji, Shunping, Chen, Liquan

“…Landslide inventory mapping (LIM) is a key prerequisite for landslide susceptibility evaluation and disaster mitigation. It aims to record the location, size,…”
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Registration of Panoramic/Fish-Eye Image Sequence and LiDAR Points Using Skyline Features by Zhu, Ningning, Jia, Yonghong, Ji, Shunping

“…We propose utilizing a rigorous registration model and a skyline-based method for automatic registration of LiDAR points and a sequence of panoramic/fish-eye…”
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