SinkholeNet: A novel RGB-slope sinkhole dataset and deep weakly-supervised learning framework for sinkhole classification and localization

SinkholeNet: A novel RGB-slope sinkhole dataset and deep weakly-supervised learning framework for sinkhole classification and localization

This paper proposes a novel multimodal deep weakly-supervised learning framework, SinkholeNet, to classify and localize sinkhole(s) in high-resolution RGB-slope aerial images. The SinkholeNet first employs a multimodal Convolutional Neural Network (CNN) architecture that simultaneously extracts feat...

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Bibliographic Details
Main Authors: Amir Yavariabdi, Huseyin Kusetogullari, Osman Orhan, Esra Uray, Vahdettin Demir, Turgay Celik, Engin Mendi
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Egyptian Journal of Remote Sensing and Space Sciences
Subjects:
Sinkhole classification
Sinkhole localization
Multimodal deep learning
Weakly-supervised
RGB-slope dataset polariton
Online Access:http://www.sciencedirect.com/science/article/pii/S1110982323000881

Internet

http://www.sciencedirect.com/science/article/pii/S1110982323000881

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