Roof Photovoltaic Development Potential Assessment Based on Deep Learning of Remote Sensing Image-Reference-Cited by-同舟云学术

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Roof Photovoltaic Development Potential Assessment Based on Deep Learning of Remote Sensing Image

Published:2022-07-08 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)
language:
Short-container-title:

Author:

Jiao Hao¹,Zhao Xindong¹,Chen Jinming¹,Guo Yajuan¹

Affiliation:

1. State Grid Jiangsu Electric Power Co., Ltd.,Electric Power Research Institute,Nanjing,China

Funder

State Grid Jiangsu Electric Power

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9948701/9949620/09949752.pdf?arnumber=9949752

Reference9 articles.

1. Road Extraction of Remote Sensing Images Based on Digital Image Processing Technology[J];yi;Electronic Technology and Software Engineering,2013

2. Evaluation method and application of photovoltaic utilization potential of urban building roofs [J];hua;Urban issues,2017

3. Analysis on the Application Potential of Building Roof Photovoltaic in my country [J];cui;Zhejiang Architecture,2021

4. Research Progress on Deep Learning[J];li;Computer Science,2015

5. Semantic Segmentation with Extended DeepLabv3 Architecture

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