Urban landscape modeling and algorithms under machine learning and remote sensing data

Author:

Song Ting,Lu Guoying

Funder

First-class undergraduate course construction project of Shanghai Business School

Mixed course construction project of Shanghai Dianji University

Publisher

Springer Science and Business Media LLC

Reference42 articles.

1. Baoping Z, Qingfeng H (2018) Regarding the accurate measurement, optimization, modeling and simulation of three-dimensional urban landscape entities. Comput Simul 35(5):229–232

2. Botai S, Qingrui C, Xiaotao C, Danyao J, Xiaokai C (2021) Remote sensing estimation of LAI for winter wheat based on Sentinel-2 multispectral data and machine learning algorithms. J Wheat Crops 41(6):752–761

3. Cao Zhexiao Fu, Yao WL, Ying Su, Yunxiang G (2024) Research on anomaly detection method of remote sensing image based on deep learning network. Spat Contr Technol Appl 49(6):77–85

4. Chaoyang M, Zhanchang W, Lihai Z, Yutao Y, Yakai Q (2022) The new three-dimensional geological modeling method and its application in the modeling of Chengdu Changdu Area. Northwest Geol 55(2):82–92

5. Chengbin W, Xiaogang M, Jianguo C (2018) The application of data preprocessing technology in geochemical big data. J Petrol 34(2):303–313

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