1. Texture classification using windowed fourier filters;Azencott;IEEE Trans. Pattern Anal. Mach. Intell.,2010
2. How textural features can improve SAR-based tropical forest disturbance mapping;Balling;Int. J. Appl. Earth Obs. Geoinf.,2023
3. Boureau, Y., Bach, F., LeCun, Y., Ponce, J., 2010. Learning mid-level features for recognition. In: Proceedings of the IEEE Conference on Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA, 2559-2566. Doi: 10.1109/CVPR.2010.5539963.
4. Multi-scale feature fusion and transformer network for urban green space segmentation from high-resolution remote sensing images;Cheng;Int. J. Appl. Earth Obs. Geoinf.,2023
5. Remote sensing image scene classification meets deep learning: challenges, methods, benchmarks, and opportunities;Cheng;IEEE J Sel. Top. Appl. Earth Obs. Remote Sens.,2020