Automated Pixel Purification for Delineating Pervious and Impervious Surfaces in a City Using Advanced Hyperspectral Imagery Techniques-Reference-Cited by-同舟云学术

Automated Pixel Purification for Delineating Pervious and Impervious Surfaces in a City Using Advanced Hyperspectral Imagery Techniques

Published:2024 Issue: Volume:12 Page:82560-82583
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sajadi Payam¹^ORCID,Gholamnia Mehdi¹,Bonafoni Stefania²^ORCID,Mills Gerald³^ORCID,Sang Yan-Fang⁴^ORCID,Li Zeting³^ORCID,Khan Salman¹^ORCID,Han Jiazheng⁵,Pilla Francesco¹^ORCID

Affiliation:

1. School of Architecture, Planning and Environmental Policy, University College Dublin, Dublin 4, Ireland

2. Department of Engineering, University of Perugia, Perugia, Italy

3. School of Geography, University College Dublin, Dublin 4, Ireland

4. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

5. School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China

Funder

National Challenge Fund, Science Foundation Ireland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10546927.pdf?arnumber=10546927

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5. Spectral – spatial urban target detection for hyperspectral remote sensing data using artificial neural network