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Ditemukan 22 dari pencarian Anda melalui kata kunci: subject="SAR"
Hal. Awal Sebelumnya 1 2 3 Berikutnya Hal. Akhir
cover
Integration of multi-temporal SAR data and robust machine learning models for…
Komentar Bagikan
Pankaj PrasadSourav MandalSahil Sandeep NaikVictor Joseph LovesonSimanku BorahPriyankar ChandraKarthik Sudheer

The flood hazards in the southwest coastal region of India in 2018 and 2020 resulted in numerous casualties and the displacement of over a million people from their homes. In order to mitigate the loss of life and resources caused by recurrent major and minor flood events, it is imperative to develop a comprehensive spatial flood zonation map of the entire area. Therefore, the main aim of the p…

Edisi
Vol.24, December 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
13 hlm PDF, 8.291 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Enhancing prediction of fluid-saturated fracture characteristics using deep l…
Komentar Bagikan
Manju Pharkavi MurugesuVignesh KrishnanAnthony R. Kovscek

Utilization of subsurface resources is essential to achieve energy sustainability including large-scale CO sequestration, H storage, geothermal energy extraction, and hydrocarbon recovery. In-situ visualization of fluid flow in geological media is essential to understand complex, coupled, physical and chemical processes underlying fluid injection, storage, extraction. X-ray Computed Tomogra…

Edisi
Vol.24, December 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
13 hlm PDF, 6.173 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
A machine learning approach for mapping susceptibility to land subsidence cau…
Komentar Bagikan
Diana OrlandiEsteban DíazRoberto TomasFederico A. GalatoloMario G.C.A. CiminoCarolina PagliNicola Perilli

Land subsidence is a worldwide threat that may cause irreversible damage to the environment and the infrastructures. Thus, identifying and mapping areas prone to land subsidence with accurate methods such as Land Subsidence Susceptibility Index (LSSI) mapping is crucial for mitigating the adverse impacts of this geohazard. Also, Machine Learning (ML) is now becoming a powerful tool to analyze v…

Edisi
Vol.24, December 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
14 hlm PDF, 15.318 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
A comparative analysis of super-resolution techniques for enhancing micro-CT …
Komentar Bagikan
Ramin SoltanmohammadiSalah A. Faroughi

High-resolution digital rock micro-CT images captured from a wide field of view are essential for various geosystem engineering and geoscience applications. However, the resolution of these images is often constrained by the capabilities of scanners. To overcome this limitation and achieve superior image quality, advanced deep learning techniques have been used. This study compares four differe…

Edisi
Vol.20, December 2023
ISBN/ISSN
2590-1974
Deskripsi Fisik
17 hlm PDF, 6.377 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
PS-InSAR derived deformation study in the Kachchh, Western India
Komentar Bagikan
Rakesh K. DumkaD. SuriBabuKapil MalikSandip PrajapatiP. Narain

The accumulation of crustal strain towards the western part of India, especially in the Kachchh Rift basin, is making one of the most seismically active parts of the Indian plate. Several strong to major earthquakes, including the recent 2001 (M7.7) Bhuj earthquake, were triggered in the Kachchh rift basin during the last two centuries. Therefore, in the present study, we have attempted to quan…

Edisi
Vol.8, December 2020
ISBN/ISSN
2590-1974
Deskripsi Fisik
8 hlm PDF, 4.173 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Transfer learning and single-polarized SAR image preprocessing for oil spill …
Komentar Bagikan
Nataliia KussulYevhenii SaliiVolodymyr KuzinBohdan YailymovAndrii Shelestov

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
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Target-based georeferencing of terrestrial radar images using TLS point cloud…
Komentar Bagikan
Lorenz SchmidTomislav MedicOthmar FreyAndreas Wieser

Terrestrial Radar Interferometry (TRI) is widely adopted in geomonitoring applications due to its capability to precisely observe surface displacements along the line of sight, among other key characteristics. As its deployment grows, TRI is also increasingly used to monitor smaller and more dispersed geological phenomena, where the challenge is their precise localization in 3d space if the pos…

Edisi
Vol.13, August 2024
ISBN/ISSN
1872-8235
Deskripsi Fisik
12 hlm PDF, 6.663 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Pol-InSAR-Island - A benchmark dataset for multi-frequency Pol-InSAR data lan…
Komentar Bagikan
Sylvia HochstuhlNiklas PfefferAntje ThieleStefan HinzJoel Amao-OlivaRolf ScheiberAndreas ReigberHolger Dirks

This paper presents Pol-InSAR-Island, the first publicly available multi-frequency Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR) dataset labeled with detailed land cover classes, which serves as a challenging benchmark dataset for land cover classification. In recent years, machine learning has become a powerful tool for remote sensing image analysis. While there are numerou…

Edisi
Vol.10, December 2023
ISBN/ISSN
1872-8235
Deskripsi Fisik
13 hlm PDF, 19,559 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Multi-temporal InSAR tropospheric delay modelling using Tikhonov regularizati…
Komentar Bagikan
Pius Kipngetich KiruiBjorn RiedelMarkus Gerke

The increased availability of satellite SAR data coupled with improved InSAR processing algorithms has led to higher accuracy of InSAR-derived displacements. However, obtaining millimeter-level accuracy still remains a challenge due to the inability to accurately model the tropospheric delay, which is sometimes larger than the actual deformation. We propose to estimate the relative daily SAR tr…

Edisi
Vol.6, December 2022
ISBN/ISSN
1872-8235
Deskripsi Fisik
19 hlm PDF, 11.938 KB
Judul Seri
ISPRS Open Journal of Photogrammetry and Remote Sensing
No. Panggil
621.3678
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
cover
Mudah membuat aplikasi pemasaran digital 360 derajat
Komentar Bagikan
Ridwan Sanjaya

Buku ini berisi tentang teknik pemasaran digital yang mudah dan tidak membutuhkan pemahaman teknis yang tinggi dalam menerapkan strategi pemasaran digital 360 derajat. Aplikasi berbasis android yang dihasilkan juga dapat dikembangkan sendiri tanpa harus menjadi seorang programmer atau belajar pemrograman terlebih dahulu. Dengan langkah-langkah yang sistematis dan dilengkapi dengan gambar. Buk…

Edisi
-
ISBN/ISSN
978-602-04-9633-7
Deskripsi Fisik
xii, 200 hlm. : illus. ; 21 cm.
Judul Seri
-
No. Panggil
658.84 RID m
Ketersediaan1
Tambahkan ke dalam keranjang
Unduh MARCSitasi
Hal. Awal Sebelumnya 1 2 3 Berikutnya Hal. Akhir
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Perpustakaan Badan Informasi Geospasial adalah perpustakaan yang dikelola oleh Badan Informasi Geospasial. Perpustakaan ini memiliki koleksi yang berkaitan dengan informasi geospasial dan literatur terkait lainnya.

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