A Novel Framework for Solar Panel Segmentation From Remote Sensing Images: Utilizing Chebyshev Transformer and Hyperspectral Decomposition-Reference-Cited by-同舟云学术

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A Novel Framework for Solar Panel Segmentation From Remote Sensing Images: Utilizing Chebyshev Transformer and Hyperspectral Decomposition

Published:2024 Issue: Volume:62 Page:1-11
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Gasparyan Hayk A.¹^ORCID,Davtyan Tatevik A.²^ORCID,Agaian Sos S.³^ORCID

Affiliation:

1. Yerevan State University, Yerevan, Armenia

2. College of Science and Engineering, American University of Armenia, Yerevan, Armenia

3. College of Staten Island (CSI), The City University of New York, New York, NY, USA

Funder

Advance Research Grants provided by the Foundation for Armenian Science and Technology

Sarkis and Nune Sepetjians

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10494745.pdf?arnumber=10494745

Reference51 articles.

1. A Review Paper on Electricity Generation from Solar Energy

2. Rooftop PV Segmenter: A Size-Aware Network for Segmenting Rooftop Photovoltaic Systems from High-Resolution Imagery

3. Enhancing PV panel segmentation in remote sensing images with constraint refinement modules

4. Remote Sensing for Monitoring Photovoltaic Solar Plants in Brazil Using Deep Semantic Segmentation

5. SP-RAN: Self-paced Residual Aggregated Network for Solar Panel Mapping in Weakly Labelled Aerial Images

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