Multichannel compressed sensing MR image reconstruction using statistically optimized nonlinear diffusion
Sign Up to like & getrecommendations! Published in 2017 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.26774
Abstract: Eliminate the need for parametric tuning in total variation (TV) based multichannel compressed‐sensing image reconstruction using statistically optimized nonlinear diffusion without compromising image quality. read more here.
Keywords: image; sensing image; multichannel compressed; compressed sensing ... See more keywords
Remote sensing image classification using extreme learning machine-guided collaborative coding
Sign Up to like & getrecommendations! Published in 2017 at "Multidimensional Systems and Signal Processing"
DOI: 10.1007/s11045-016-0403-6
Abstract: Remote sensing image classification is a very challenging problem and covariance descriptor can be introduced in the feature extraction and representation process for remote sensing image. However, due to the reason that covariance descriptor lies… read more here.
Keywords: image; sensing image; extreme learning; remote sensing ... See more keywords
Practical remote sensing image fusion method based on guided filter and improved SML in the NSST domain
Sign Up to like & getrecommendations! Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-018-1240-x
Abstract: Due to the different characteristics of image modality, the panchromatic (PAN) and multispectral (MS) images include complementary and redundancy information in the spatial and spectral resolutions. Image fusion is an effective way to integrate the… read more here.
Keywords: image; sensing image; nsst domain; remote sensing ... See more keywords
Hybridizing ant lion with whale optimization algorithm for compressed sensing MR image reconstruction via l1 minimization: an ALWOA strategy
Sign Up to like & getrecommendations! Published in 2020 at "Evolutionary Intelligence"
DOI: 10.1007/s12065-020-00475-9
Abstract: In the field of image compression, the compressed sensing image reconstruction has made great achievements due to proper use of the image sparsity without the Nyquist sampling law constraint. For image information distribution, great deals… read more here.
Keywords: reconstruction; image; sensing image; compressed sensing ... See more keywords
Exploiting low dimensional features from the MobileNets for remote sensing image retrieval
Sign Up to like & getrecommendations! Published in 2020 at "Earth Science Informatics"
DOI: 10.1007/s12145-020-00484-3
Abstract: Generally, traditional convolutional neural networks (CNN) models require a long training time and output high-dimensional features for content-based remote sensing image retrieval (CBRSIR). This paper aims to examine the retrieval performance of the MobileNets model… read more here.
Keywords: sensing image; dimensional features; retrieval; retrieval performance ... See more keywords
Remote Sensing Image Matching Based Improved ORB in NSCT Domain
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-019-00958-y
Abstract: AbstractAiming at the problem that the ORB algorithm has no scale invariance and low matching accuracy in image matching, an improved ORB algorithm is proposed on the basis of SURF algorithm. Based on the flexibility… read more here.
Keywords: image matching; image; sensing image; remote sensing ... See more keywords
A Review on Recent Advances in Remote Sensing Image Retrieval Techniques
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-019-01049-8
Abstract: Due to the rapid advancements in the remote sensing (RS) imaging modalities, the scientific fraternity has been challenged to develop sophisticated methods for retrieving similar images from huge image archives. Developing efficient retrieval methods has… read more here.
Keywords: image; sensing image; retrieval; image retrieval ... See more keywords
Innovation of agricultural digital business model based on remote sensing image target detection and embedded network
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03258-x
Abstract: With the continuous development of science and technology, the application of remote sensing image technology has gradually penetrated into people's lives. In recent years, compared with the past, the resolution of optical remote sensing image… read more here.
Keywords: sensing image; remote sensing; technology; image ... See more keywords
An efficient remote sensing image compensation method based on assessed modulated transfer function
Sign Up to like & getrecommendations! Published in 2017 at "Optik"
DOI: 10.1016/j.ijleo.2017.03.118
Abstract: Abstract In the acquisition process of a remote sensing image, remote sensing image quality degradation is caused by fuzzy and noise. However, how to compensate the image degradation remains a crucial but unsolved issue until… read more here.
Keywords: image; sensing image; image compensation; remote sensing ... See more keywords
Remote sensing image fusion via compressive sensing
Sign Up to like & getrecommendations! Published in 2019 at "ISPRS Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2019.04.001
Abstract: Abstract In this paper, we propose a compressive sensing-based method to pan-sharpen the low-resolution multispectral (LRM) data, with the help of high-resolution panchromatic (HRP) data. In order to successfully implement the compressive sensing theory in… read more here.
Keywords: sensing image; sensing remote; remote sensing; image fusion ... See more keywords
Remote sensing image super-resolution using cascade generative adversarial nets
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.02.026
Abstract: Abstract Image super-resolution (SR) is a widely used and cost-effective technology in remote sensing image processing. Deep learning-based SR methods have shown promising performance, but they are prone to losing texture details. Instead, generative adversarial… read more here.
Keywords: image super; sensing image; remote sensing; super resolution ... See more keywords