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Street-level imagery analytics and applications

Published:2023-05 Issue: Volume:199 Page:195-196
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Zhang Fan,Wegner Jan Dirk,Yang Bisheng,Liu Yu

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference30 articles.

1. Street view imagery in urban analytics and GIS: A review;Biljecki;Landscape Urban Plann.,2021

2. An automatic approach for tree species detection and profile estimation of urban street trees using deep learning and Google Street View images;Choi;ISPRS J. Photogramm. Remote Sens.,2022

3. Diversity beyond density: experienced social mixing of urban streets;Fan,2022

4. Spatial context- aware method for urban land use classification using street view images;Fang;ISPRS J. Photogramm. Remote Sens.,2022

5. Modelling people’s perceived scene complexity of real-world environments using street-view panoramas and open geodata;Guan;ISPRS J. Photogramm. Remote Sens.,2022

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Portraying on-road CO2 concentrations using street view panoramas and ensemble learning;Science of The Total Environment;2024-10

2. Multimodal learning with only image data: A deep unsupervised model for street view image retrieval by fusing visual and scene text features of images;Transactions in GIS;2024-02-23

3. A vehicle imaging approach to acquire ground truth data for upscaling to satellite data: A case study for estimating harvesting dates;Remote Sensing of Environment;2024-01

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