Building detection in SAR images based on fusion of classic and deep learning features
Author:
Affiliation:
1. Faculty of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2347525
Reference36 articles.
1. Building Detection in Very High Resolution SAR Images Via Sparse Representation Over Learned Dictionaries
2. Building extraction from very high-resolution synthetic aperture radar images based on statistical and structural information fusion
3. Aghayari, S., A. Hadavand, S. Mohamadnezhad Niazi, and M. Omidalizarandi. 2023. “Bulding Detection from Aerial Imagery Using Inception ResNet UNet and Unet Artchitecyures.” In Proc. ISPRS Conf. Geo Spatial, Iran, 9–17. Vol. X-4/W1.
4. Multi-Scale Rotation-Invariant Haar-Like Feature Integrated CNN-Based Ship Detection Algorithm of Multiple-Target Environment in SAR Imagery
5. Buduma, N., and N. Locascio. 2017. Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms. 1st ed. California: O’Reilly Media.
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