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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3626009
Abstract: Accurate height estimation from satellite imagery is essential for digital surface model (DSM) generation in remote sensing applications. Although recent deep learning-based multiview stereo (MVS) methods have advanced height prediction, they often struggle with edge…
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Keywords:
edge;
estimation satellite;
height estimation;
estimation ... See more keywords
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Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3527550
Abstract: The depth map estimation from a set of remote sensed images has been a challenging task due to the complexity of the real-world scenes, yet it is of great importance for applications such as 3-D…
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Keywords:
remote sensed;
based multiview;
depth;
multiview stereo ... See more keywords
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Published in 2022 at "IEEE MultiMedia"
DOI: 10.1109/mmul.2021.3139012
Abstract: In this article, we propose the suppositionalmesh-based unsupervised multiview stereo network (SMU-MVSNet), a conceptually innovative method that overcomes the challenges when encountering object occlusions and textureless areas by exploiting the intrinsic structure information of the…
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Keywords:
unsupervised multiview;
suppositional mesh;
multiview stereo;
structure information ... See more keywords
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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3482697
Abstract: Learnable multiview stereo (MVS) aerial image depth estimation has obtained great success in 3-D digital urban reconstruction. Currently, most depth estimation methods in the large-scale sense heavily involve adapting the general MVS framework. However, these…
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Keywords:
depth estimation;
remote sensing;
estimation;
multiview stereo ... See more keywords