Search Results - "Fan, Kunlong"

Road Extraction from Unmanned Aerial Vehicle Remote Sensing Images Based on Improved Neural Networks by Li, Yuxia, Peng, Bo, He, Lei, Fan, Kunlong, Li, Zhenxu, Tong, Ling

“…Roads are vital components of infrastructure, the extraction of which has become a topic of significant interest in the field of remote sensing. Because deep…”
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An Improved Method for Soil Moisture Monitoring With Ensemble Learning Methods Over the Tibetan Plateau by He, Lei, Cheng, Yuan, Li, Yuxia, Li, Fan, Fan, Kunlong, Li, Yuzhen

“…Soil moisture (SM) is a key parameter of the hydrological process, which affects exchanges of water and heat at the land/atmosphere interface. The "trapezoid"…”
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Road Segmentation of Unmanned Aerial Vehicle Remote Sensing Images Using Adversarial Network With Multiscale Context Aggregation by Li, Yuxia, Peng, Bo, He, Lei, Fan, Kunlong, Tong, Ling

“…Semantic segmentation using adversarial networks has proved to be effective in image processing fields. However, two problems need to be solved in the field of…”
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Modeling and analysis of landing collision dynamics for an active helideck based on the Stewart platform by Qiu, Weihan, Wang, Shenghai, Niu, Anqi, Fan, Kunlong, Han, Guangdong, Chen, Haiquan

“…Helicopters are indispensable in various domains, such as personnel and supply transport, search and rescue operations, and other related fields, owing to…”
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MSMDFF-Net: Multi-Scale Fusion Coder and Multi-Direction Combined Decoder Network for Road Extraction from Satellite Imagery by Wang, Yuchuan, Tong, Ling, Xiao, Fanghong, Wen, Jiang, Fan, Kunlong, Zhu, Chenhui

“…Using deep learning to extract roads from satellite images is one of the most popular methods. However, the existing encoder-decoder-based deep networks…”
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Polygonal Building Extraction of Satellite Imagery Using an Improved End-to-End Active Contour Network by Fan, Kunlong, Tong, Ling, Xiao, Fanghong, Wen, Jiang, Wang, Yuchuan

“…This paper investigates the problem of building extraction from very high resolution (VHR) satellite imagery. Deep learning methods are deemed as emerging…”
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New Network Based on D-LinkNet and ResNeXt for High Resolution Satellite Imagery Road Extraction by Fan, Kunlong, Li, Yuxia, Yuan, Lang, Si, Yu, Tong, Ling

“…DlinkNet[1] (LinkNet With Pretrained Encoder and Dilated Convolution) has been proved to be an effective method for road extraction in remote sensing fields as…”
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Remote Sensing Inversion of Water Quality Parameters in Longquan Lake Based on PSO-SVR Algorithm by Li, Yuxia, He, Lei, Peng, Bo, Fan, Kunlong, Tong, Ling

“…The paper uses the PSO-SVR algorithm to inverse the water quality parameters based on GF-1 remote sensing image in Longquan lake where is located in Chengdu,…”
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Road Segmentation of UAV RS Image Using Adversarial Network with Multi-Scale Context Aggregation by Peng, Bo, Li, Yuxia, He, Lei, Fan, Kunlong, Tong, Ling

“…Semantic segmentation using adversarial networks has been approved to produce the better artificial results in image processing fields. Focused on current Deep…”
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Road Vectorization Based on Image Pixel Tracking and Attribute Matching Method by Yuan, Lang, Li, Yuxia, Yang, Chao, Fan, Kunlong, Si, Yu, Tong, Ling

“…Extracting road information from remote sensing images is one of the hot topics in image processing. The extraction result is saved as raster data, which is…”
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New Network Based on D-Linknet and Densenet for High Resolution Satellite Imagery Road Extraction by Peng, Bo, Li, Yuxia, Fan, Kunlong, Yuan, Lang, Tong, Ling, He, Lei

“…CNN (Convolutional Neural Networks) has been proved to be an effective method for road extraction in remote sensing fields recently. D-LinkNet based on LinkNet…”
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New Network Based on Unet++ and Densenet for Building Extraction from High Resolution Satellite Imagery by Tong, Zhonggui, Li, Yuxia, Li, Yuzhen, Fan, Kunlong, Si, Yu, He, Lei

“…Extracting building information from remote sensing (RS) images have always played an important role in civil and military. In recent years, many efficient…”
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New Neural Network and an Image Postprocessing Method for High Resolution Satellite Imagery Road Extraction by Li, Yuxia, Peng, Bo, Fan, Kunlong, Yuan, Lang, Tong, Ling, He, Lei

“…Recently, D-LinkNet has become a popular convolutional neural network for its high IoU scores in road extraction. Actually, D-LinkNet could have higher IoU…”
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