Growing Correspondence Seeds for Efficient and Accurate Satellite DSM Extraction
Extracting digital surface model (DSM) from high-resolution satellite images remains a challenge in remote sensing and photogrammetry. In this article, a precise and efficient method for DSM extraction from satellite images, called SATellite-growing correspondence seeds (Sat-GCS), is proposed. The p...
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| Main Authors: | Amin Sedaghat, Nazila Mohammadi |
|---|---|
| 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/10742928/ |
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