3-D Model Extraction Network Based on RFM-Constrained Deformation Inference and Self-Similar Convolution for Satellite Stereo Images
Traditional three-dimensional (3-D) reconstruction methods for satellite stereo images (SSIs) are limited by observation angles and image resolution, resulting in poor reconstruction results and only a rough 3-D model of the extracted target. Meanwhile, deep-learning methods require a large number o...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10574271/ |
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