Ditapis dengan
Pemrosesan Interferometric Synthetic Aperture Radar (InSAR) untuk Eksplorasi …
- Edisi
- -
- ISBN/ISSN
- 9786232972636
- Deskripsi Fisik
- xvi, 82 hlm; 25 cm.
- Judul Seri
- -
- No. Panggil
- 621.3678 ASE p
- Edisi
- -
- ISBN/ISSN
- 9786232972636
- Deskripsi Fisik
- xvi, 82 hlm; 25 cm.
- Judul Seri
- -
- No. Panggil
- 621.3678 ASE p
Transfer learning and single-polarized SAR image preprocessing for oil spill …
This study addresses the challenge of oil spill detection using Synthetic Aperture Radar (SAR) satellite imagery, employing deep learning techniques to improve accuracy and efficiency. We investigated the effectiveness of various neural network architectures and encoders for this task, focusing on scenarios with limited training data. The research problem centered on enhancing feature extractio…
- Edisi
- Vol.15, January 2025
- ISBN/ISSN
- 1872-8235
- Deskripsi Fisik
- 8 hlm PDF, 1.441 KB
- Judul Seri
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- No. Panggil
- 621.3678
Deep learning approach for Sentinel-1 surface water mapping leveraging
Satellite remote sensing plays an important role in mapping the location and extent of surface water. A variety of approaches are available for mapping surface water, but deep learning approaches are not commonplace as they are ‘data hungry’ and require large amounts of computational resources. However, with the availability of various satellite sensors and rapid development in cloud comput…
- Edisi
- Vol.2, December 2021
- ISBN/ISSN
- 1872-8235
- Deskripsi Fisik
- 13 hlm PDF, 4.033 KB
- Judul Seri
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- No. Panggil
- 621.3678
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