Roof Superstructure Detection from Aerial Imagery-Reference-Cited by-同舟云学术

Roof Superstructure Detection from Aerial Imagery

Published:2023-07-16 Issue: Volume: Page:
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Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Li Qingyu¹,Krapf Sebastian²,Mou Lichao¹,Shi Yilei³,Zhu Xiao Xiang¹

Affiliation:

1. Technical University of Munich (TUM),Data Science in Earth Observation,Munich,Germany

2. Technical University of Munich (TUM),Institute of Automotive Technology,Munich,Germany

3. Technical University of Munich (TUM),Remote Sensing Technology,Munich,Germany

Funder

Helmholtz Association

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283139.pdf?arnumber=10283139

Reference11 articles.

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2. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

3. Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment

4. Assessment of rooftop photovoltaic potentials at the urban level using publicly available geodata and image recognition techniques

5. Building Roof Segmentation from Aerial Images Using a Lineand Region-Based Watershed Segmentation Technique

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