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Chenbo ZHAO
Chenbo ZHAO
在 iis.u-tokyo.ac.jp 的电子邮件经过验证
标题
引用次数
引用次数
年份
Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach
S Chen, Y Ogawa, C Zhao, Y Sekimoto
ISPRS Journal of Photogrammetry and Remote Sensing 195, 129-152, 2023
452023
Vegetation land use/land cover extraction from high-resolution satellite images based on adaptive context inference
Z Zhan, X Zhang, Y Liu, X Sun, C Pang, C Zhao
IEEE Access 8, 21036-21051, 2020
232020
Deep learning approach for classifying the built year and structure of individual buildings by automatically linking street view images and GIS building data
Y Ogawa, C Zhao, T Oki, S Chen, Y Sekimoto
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2023
112023
Quantitative land price analysis via computer vision from street view images
C Zhao, Y Ogawa, S Chen, T Oki, Y Sekimoto
Engineering Applications of Artificial Intelligence 123, 106294, 2023
82023
Development of a large-scale roadside facility detection model based on the Mapillary Dataset
Z Yang, C Zhao, H Maeda, Y Sekimoto
Sensors 22 (24), 9992, 2022
52022
Label freedom: Stable diffusion for remote sensing image semantic segmentation data generation
C Zhao, Y Ogawa, S Chen, Z Yang, Y Sekimoto
2023 IEEE International Conference on Big Data (BigData), 1022-1030, 2023
42023
Large-Scale Building Footprint Extraction from Open-Sourced Satellite Imagery via Instance Segmentation Approach
S Chen, Y Ogawa, C Zhao, Y Sekimoto
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
32022
Evaluating the subjective perceptions of streetscapes using street-view images
Y Ogawa, T Oki, C Zhao, Y Sekimoto, C Shimizu
Landscape and Urban Planning 247, 105073, 2024
22024
People Flow Trend Estimation Approach and Quantitative Explanation Based on the Scene Level Deep Learning of Street View Images
C Zhao, Y Ogawa, S Chen, T Oki, Y Sekimoto
Remote Sensing 15 (5), 1362, 2023
22023
Vision-Based Traffic Sign Detection and Localization in Tokyo Metropolitan Area
Z Yang, H Maeda, C Zhao, G Sato, Y Sekimoto
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
22022
Predicting Impression Evaluation of Building Exterior Appearance Using Street Image Big Data and Deep Learning
Y Imadegawa, T Oki, Y Ogawa, C Zhao
2023 IEEE International Conference on Big Data (BigData), 1419-1428, 2023
12023
Enhanced large-scale building extraction evaluation: developing a two-level framework using proxy data and building matching
S Chen, Y Ogawa, C Zhao, Y Sekimoto
European Journal of Remote Sensing 57 (1), 2374844, 2024
2024
Are Utility Poles Within Sight? Unleashing the Power of Computer Vision for Effortless Roadside Management
Z Yang, D Arya, C Zhao, H Maeda, Y Sekimoto
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
2023
Scene Level People Flow Trend Prediction by Swin Transformer
C Zhao, Y Ogawa, S Chen, Y Sekimoto
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
2022
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