Zobrazeno 1 - 10
of 10 390
pro vyhledávání: '"Speckle noise"'
Publikováno v:
Leida xuebao, Vol 13, Iss 3, Pp 714-729 (2024)
The field of Synthetic Aperture Radar Automatic Target Recognition (SAR-ATR) lacks effective black-box attack algorithms. Therefore, this research proposes a migration-based black-box attack algorithm by combining the idea of the Momentum Iterative F
Externí odkaz:
https://doaj.org/article/6e8d817c70d448bebd5227bb648f4af6
Autor:
Dae-youl Park, Joongki Park
Publikováno v:
ETRI Journal, Vol 46, Iss 2, Pp 165-174 (2024)
We propose a method to suppress the speckle noise and blur effects of the light field extracted from a hologram using a deep-learning technique. The light field can be extracted by bandpass filtering in the hologram's frequency domain. The extracted
Externí odkaz:
https://doaj.org/article/f1b8368e95c448ca849d3a880d312aaa
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11208-11218 (2024)
This article studies the use of airborne global navigation satellite system reflectometry techniques for remote sensing applications at regional scale. The objective is to classify the reflectivity of airborne global navigation satellite system (GNSS
Externí odkaz:
https://doaj.org/article/7913dca4799e43c49ee6fefaaca7eefb
Publikováno v:
IEEE Access, Vol 12, Pp 81293-81312 (2024)
Medical ultrasound imaging involves the use of high-frequency sound waves to produce images of various body parts. A transducer generates these sound waves, which traverse through bodily tissues, providing measurements of soft tissue and organ dimens
Externí odkaz:
https://doaj.org/article/8bec0107c0cc405eb5dac4a7a67f3d96
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 1, Pp 1-6 (2024)
Lensless holographic projection technology allows for removing of the projection lens and simplifies the optical projection system. It has great potential to be applied in the fields of three-dimensional printing, integrated circuit fabrication, and
Externí odkaz:
https://doaj.org/article/8461e47d9b8047139c80cd275941957f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4036-4051 (2024)
Synthetic aperture radar (SAR) images are often affected by a type of multiplicative noise known as “speckle” due to their active imaging characteristics. This property complicates the processing and interpretation of SAR images. While deep learn
Externí odkaz:
https://doaj.org/article/d8a134a24cfe4985bd93d8e40da4d9c2
Publikováno v:
Mendel, Vol 30, Iss 1 (2024)
This paper proposes a deep learning model for speckle noise suppression in digital images. The model consists of two interconnected networks: the first network focuses on the initial suppression of speckle noise. The second network refines these feat
Externí odkaz:
https://doaj.org/article/c318e11b08054d7ea3845f288ea2e864
Publikováno v:
Leida xuebao, Vol 12, Iss 5, Pp 1031-1043 (2023)
With the substantial improvement of Synthetic Aperture Radar (SAR) regarding swath width and spatial and temporal resolutions, a time series obtained by registering SAR images acquired at different times can provide more accurate information on the d
Externí odkaz:
https://doaj.org/article/facffce21a3e462fba2a27de5a4ea80b
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3222 (2024)
The speckle noise inherent in synthetic aperture radar (SAR) imaging has long posed a challenge for SAR data processing, significantly affecting image interpretation and recognition. Recently, deep learning-based SAR speckle removal algorithms have s
Externí odkaz:
https://doaj.org/article/969bd5e7deda4f74bada7dcc8b3d96ae
Publikováno v:
Iranian Journal of Electrical and Electronic Engineering, Vol 19, Iss 3, Pp 1-13 (2023)
Speckle noise is an inherent artifact appearing in medical images that significantly lowers the quality and accuracy of diagnosis and treatment. Therefore, speckle reduction is considered as an essential step before processing and analyzing the ultra
Externí odkaz:
https://doaj.org/article/cf16ba037b15452182d57cff407305c0