Results 31 to 40 of about 6,617 (256)

GF-3 SAR IMAGE DESPECKLING BASED ON THE IMPROVED NON-LOCAL MEANS USING NON-SUBSAMPLED SHEARLET TRANSFORM [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
GF-3 synthetic aperture radar (SAR) images are rich in information and have obvious sparse features. However, the speckle appears in the GF-3 SAR images due to the coherent imaging system and it hinders the interpretation of images seriously.
R. Shi, Z. Sun
doaj   +1 more source

Shearlet Coorbit Spaces: Compactly Supported Analyzing Shearlets, Traces and Embeddings [PDF]

Journal of Fourier Analysis and Applications, 2011
The authors show that compactly supported functions with sufficient smoothness and enough vanishing moments can serve as analyzing vectors for shearlet coorbit space. This approach has bee used to prove embedding theorems for subspaces of shearlet coorbit spaces resembling shearlets on the cone into Besov spaces.
Dahlke, Stephan, Steidl, Gabriele, Teschke, Gerd   +2 more
openaire   +2 more sources

Road Detection Based on Shearlet for GF-3 Synthetic Aperture Radar Images

IEEE Access, 2020
GF-3 satellite is China's first C-band multi-polarized synthetic aperture radar (SAR) satellite with the 1-meter resolution, which has been widely used in various fields. Road detection for GF-3 SAR images is an important part of the application of GF-3,
Zengguo Sun, Dedao Lin, Wei Wei, Marcin Wozniak, Robertas Damasevicius   +4 more
doaj   +1 more source

EMA‐GAN: A Generative Adversarial Network for Infrared and Visible Image Fusion with Multiscale Attention Network and Expectation Maximization Algorithm

Advanced Intelligent Systems, Volume 5, Issue 11, November 2023., 2023
Expectation‐maximization algorithm generative adversarial network (EMA‐GAN) is proposed to fuse images from different modalities. This is an EM learning framework based on GAN that maximizes the likelihood of fused results and estimates potential variables.
Xiuliang Xi, Xin Jin, Qian Jiang, Yu Lin, Wei Zhou, Lei Guo   +5 more
wiley   +1 more source

Deep learning: Applications, architectures, models, tools, and frameworks: A comprehensive survey

CAAI Transactions on Intelligence Technology, Volume 8, Issue 3, Page 581-606, September 2023., 2023
Abstract Deep Learning (DL) is a subfield of machine learning that significantly impacts extracting new knowledge. By using DL, the extraction of advanced data representations and knowledge can be made possible. Highly effective DL techniques help to find more hidden knowledge.
Mehdi Gheisari, Fereshteh Ebrahimzadeh, Mohamadtaghi Rahimi, Mahdieh Moazzamigodarzi, Yang Liu, Pijush Kanti Dutta Pramanik, Mohammad Ali Heravi, Abolfazl Mehbodniya, Mustafa Ghaderzadeh, Mohammad Reza Feylizadeh, Saeed Kosari   +10 more
wiley   +1 more source

Speckle Suppression Based on Sparse Representation with Non-Local Priors

Remote Sensing, 2018
As speckle seriously restricts the applications of remote sensing images in many fields, the ability to efficiently and effectively suppress speckle in a coherent imaging system is indispensable.
Shuaiqi Liu, Qi Hu, Pengfei Li, Jie Zhao, Chong Wang, Zhihui Zhu   +5 more
doaj   +1 more source

River boundary detection and autonomous cruise for unmanned surface vehicles

IET Image Processing, Volume 17, Issue 11, Page 3196-3215, 18 September 2023., 2023
The detection of river boundaries is important for judging the drivable area of USVs, and it can also be utilized to ensure driving safety by limiting the effective drivable areas of the USVs in the river areas. This work proposes a real‐time detection method for river boundaries based on a LiDAR sensor to detect the boundaries of incompletely ...
Kai Zhang, Min Hu, Fuji Ren, Yanwei Bao, Piao Shi, Daoyang Yu   +5 more
wiley   +1 more source

Embeddings of anisotropic Besov spaces into Sobolev spaces

Mathematische Nachrichten, Volume 296, Issue 4, Page 1380-1393, April 2023., 2023
Abstract We study the embeddings of (homogeneous and inhomogeneous) anisotropic Besov spaces associated to an expansive matrix A into Sobolev spaces, with a focus on the influence of A on the embedding behavior. For a large range of parameters, we derive sharp characterizations of embeddings.
David Bartusel, Hartmut Führ
wiley   +1 more source

Digital Shearlet Transforms [PDF]

, 2012
Over the past years, various representation systems which sparsely approximate functions governed by anisotropic features such as edges in images have been proposed. We exemplarily mention the systems of contourlets, curvelets, and shearlets. Alongside the theoretical development of these systems, algorithmic realizations of the associated transforms ...
Kutyniok, G., Lim, W. -Q, Zhuang, X.
openaire   +3 more sources

Quaternionic shearlet transform [PDF]

Optik, 2018
Abstract The shearlet transform has been shown to be a valuable and powerful time–frequency analyzing tool for optics and non-stationary signal processing. In this article, we propose a novel transform called quaternionic shearlet transform which is designed to represent quaternion-valued signals at different scales, locations and orientations.
Firdous A. Shah, Azhar Y. Tantary
openaire   +1 more source