Zobrazeno 1 - 10
of 914
pro vyhledávání: '"despeckling"'
Publikováno v:
Defence Technology, Vol 35, Iss , Pp 259-274 (2024)
Side-scan sonar (SSS) is now a prevalent instrument for large-scale seafloor topography measurements, deployable on an autonomous underwater vehicle (AUV) to execute fully automated underwater acoustic scanning imaging along a predetermined trajector
Externí odkaz:
https://doaj.org/article/8b4de3bba8a5445f826db2487b25f2a2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2963-2979 (2024)
The inherent speckle in synthetic aperture radar (SAR) images significantly affects their potential usefulness, and its effective suppression is a challenging and nontrivial task. This article uses near-real SAR intensity datasets as the training dat
Externí odkaz:
https://doaj.org/article/8b39e61192524470a08a70325e6777e5
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8985 (2024)
The primary concern of synthetic aperture radar (SAR) images is speckle noise, an inherent property. The creation of speckle noise is in a granular form and its nature is multiplicative. To reduce such noise from the radar images, the researchers’
Externí odkaz:
https://doaj.org/article/64d8d1d5c10e4b3397a5caa637ba36bc
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 10175-10190 (2023)
Speckle suppression is a crucial preliminary step for synthetic aperture radar (SAR) image processing. Supervised despeckling approaches trained on synthetic datasets usually perform poorly in practice due to the unavailability of clean SAR images. B
Externí odkaz:
https://doaj.org/article/2101e9e07fa34cfaa366338ea8706490
Autor:
Mohamed Ihmeida, Muhammad Shahzad
Publikováno v:
IEEE Access, Vol 11, Pp 95734-95746 (2023)
Synthetic aperture radar (SAR) image change detection (CD) focuses on identifying changes between two images at different times for the same geographical region. Recently, several deep learning methods have been proposed for performing SAR based CD.
Externí odkaz:
https://doaj.org/article/58b01c51c6974649badf2d32b176972b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 2915-2930 (2023)
Owing to the characteristics of long distance and strong penetration, a synthetic aperture radar (SAR) imaging system could provide ground information with high resolution under a poor climate environment. Nevertheless, speckle is still a common inte
Externí odkaz:
https://doaj.org/article/01284a387fff4b649c9de166f5180154
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 7, Pp 101607- (2023)
Ultrasound is a diagnostic imaging technique to detect various illnesses related to the body's internal organs. It is a non-invasive, safe, cost-effective, and simple imaging modality that uses high-frequency sound waves and their reflection from int
Externí odkaz:
https://doaj.org/article/afb6a2279d494a07b4df0a2b3eaaf183
Akademický článek
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Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4485 (2023)
Speckle noise is an inherent problem of synthetic aperture radar (SAR) images, which not only seriously affects the acquisition of SAR image information, but also greatly reduces the efficiency of image segmentation and feature classification. Theref
Externí odkaz:
https://doaj.org/article/6f0f54869e7a4beaa2a8bd73cbe927d0
Publikováno v:
IEEE Open Journal of Signal Processing, Vol 3, Pp 440-449 (2022)
In this paper, we proposed to investigate unsupervised anomaly detection in Synthetic Aperture Radar (SAR) images. Our approach considers anomalies as abnormal patterns that deviate from their surroundings without prior knowledge of their characteris
Externí odkaz:
https://doaj.org/article/251175771b14449b9366483032682a76