A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Table of contents
2019
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
Benediktsson 5085 Simultaneous Reconstruction and Anomaly Detection of Subsampled Hyperspectral Images Using l (1/2) Regularized Joint Sparse and Low-Rank Recovery ..................................... ...
Yin 4938 Effects of Compression on Remote Sensing Image Classification Based on Fractal Analysis ............................. .......................................................................... ...
doi:10.1109/tgrs.2019.2923179
fatcat:nfaahnqzcvft5ezz36a6nyy2ri
2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57
2019
IEEE Transactions on Geoscience and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
., and Drake, V.A., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C., see Zhang, M., TGRS Sept. 2019 6666-6674 ...
on Arbitrary Region of Interest; TGRS Oct. 2019 7995-8010 Hu, T., see Kang, Z., TGRS Jan. 2019 181-193 Hu, T., Wu, Y., Zheng, G., Zhang, D., Zhang, Y., and Li, Y., Tropical Cyclone Center ...
Zhang, W., +, TGRS July 2019 4810-4822
Simultaneous Reconstruction and Anomaly Detection of Subsampled
Hyperspectral Images Using I (1/2) Regularized Joint Sparse and Low-Rank
Recovery. ...
doi:10.1109/tgrs.2020.2967201
fatcat:kpfxoidv5bgcfo36zfsnxe4aj4
Detection of Small Target Using Schatten 1/2 Quasi-Norm Regularization with Reweighted Sparse Enhancement in Complex Infrared Scenes
2019
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Finally, the small target detection task is reformulated as a problem of nonconvex low-rank matrix recovery with sparse reweighting. ...
Extensive experimental results on several real infrared scene datasets validate the superiority of the proposed method over the state-of-the-arts with respect to background interference suppression and ...
Acknowledgments: The authors would like to thank the editor and anonymous reviewers for their help comments and suggestions and thank Chengqiang Gao and Xiaoyang Wang providing images and the codes for ...
doi:10.3390/rs11172058
fatcat:346lahswwnc3zfwyy5t7yen3ia
Front Matter: Volume 10806
2018
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. ...
. ▪ The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, 04, ...
mass spectrometry database of
microbes based on SVM [10806-239]
10806 5M
Medical image fusion based on NSCT and sparse representation [10806-244]
xiv
Proc. of SPIE Vol. 10806 1080601-14
Deep ...
doi:10.1117/12.2510343
fatcat:maohjht2t5apneao4iivotwxey
Unmanned Ground Vehicle Navigation Using Aerial Ladar Data
2006
The international journal of robotics research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2007; you can also visit the original URL.
The file type is application/pdf.
In this paper, we investigate the use of overhead high-resolution three-dimensional (3-D) data for enhancing the performances of an Unmanned Ground Vehicle (UGV) in vegetated terrains. ...
Vegetation is filtered both in the ground data and in the aerial data in order to recover the load bearing surface. ...
This work would not have been possible without the help of W. Klarquist and Jeremy Nett from PercepTEK. ...
doi:10.1177/0278364906061161
fatcat:n7fnreuzfratbgk3ditnsnszvy
Landslide inventory maps: New tools for an old problem
2012
Earth-Science Reviews
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Conventional methods for the production of landslide maps rely chiefly on the visual interpretation of stereoscopic aerial photography, aided by field surveys. ...
New and emerging techniques based on satellite, airborne, and terrestrial remote sensing technologies, promise to facilitate the production of landslide maps, reducing the time and resources required for ...
In most cases, detection and mapping of the landslides is based on the visual interpretation of 2D and 3D representations of the subaqueous terrain (Schwab et al., 1991; Hampton et al., 1996; Masson et ...
doi:10.1016/j.earscirev.2012.02.001
fatcat:6sg2izvefzgwbeoprv67avxnpe
2019 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 12
2019
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
., and Lopez, J.F ...
via Subspace-Based Nonlocal Low-Rank and Sparse Factorization. ...
., +, JSTARS April 2019 1134-1142 Kernel Low-Rank Representation Based on Local Similarity for Hyperspectral Image Classification. ...
doi:10.1109/jstars.2020.2973794
fatcat:sncrozq3fjg4bgjf4lnkslbz3u
2021 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 14
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages. ...
., +, JSTARS 2021 7895-7910 Anomaly Detection for Hyperspectral Images Based on Improved Low-Rank and Sparse Representation and Joint Gaussian Mixture Distribution. ...
doi:10.1109/jstars.2022.3143012
fatcat:dnetkulbyvdyne7zxlblmek2qy
The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
of raw material extraction, classification, and process automatization. ...
We first describe the main imagers and the acquired data types as well as the platforms on which they can be installed. ...
Later on, sparse and low-rank representations showed considerable advantages compared with the sparse and redundant representations [36] - [38] . ...
doi:10.1109/jstars.2021.3108049
fatcat:dopyzl427rhmbi7nejpug7ahfq
Mitigation of Radio Frequency Interference in Synthetic Aperture Radar Data: Current Status and Future Trends
2019
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Advantages and drawbacks of each approach are discussed in terms of their applicability. Discussion on the future trends are provided from the perspective of cognitive, integrated, and adaptive. ...
From the view of spectrum allocation, possible terrestrial and spaceborne RFI sources to SAR system and their geometry are analyzed. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs11202438
fatcat:7mlqnrz725afnoja4sksnoladu
2014 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 7
2014
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
., and Foerster, S ...
., +, JSTARS Dec. 2014 4653-4669 Pansharpening Based on Low-Rank and Sparse Decomposition. ...
., +, JSTARS July 2014 3117-3127
Pansharpening Based on Low-Rank and Sparse Decomposition. ...
doi:10.1109/jstars.2015.2397347
fatcat:ib3tjwsjsnd6ri6kkklq5ov37a
Meta-Analysis of Unmanned Aerial Vehicle (UAV) Imagery for Agro-Environmental Monitoring Using Machine Learning and Statistical Models
2020
Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Unmanned Aerial Vehicle (UAV) imaging systems have recently gained significant attention from researchers and practitioners as a cost-effective means for agro-environmental applications. ...
The meta-analysis revealed that 62% and 38% of the studies applied regression and classification models, respectively. ...
The superiority of object-based approaches over pixel-based ones in terms of classification performance is proven in [110] . ...
doi:10.3390/rs12213511
fatcat:y6eoqjaxbbc4rafodjowrqwxwe
A Boosting SAR Image Despeckling Method Based on Non-Local Weighted Group Low-Rank Representation
2018
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Based on this, we use low-rank representation (LRR) to recover the noise-free group data matrix. ...
In this paper, we propose a boosting synthetic aperture radar (SAR) image despeckling method based on non-local weighted group low-rank representation (WGLRR). ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s18103448
pmid:30322174
pmcid:PMC6210930
fatcat:e3idmup56rcwxpcv2qlxsvrvc4
Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing
2014
IEEE Signal Processing Magazine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Recent theoretical work on low-rank models shares many aspects of earlier work on sparsity and CS: low-rank matrix recovery problems are posed as optimization problems, relaxed forms of which, involving ...
decomposition of some of the signals into sparse and low-rank components as well. ...
set containing the largest % t column crosscorrelations . gij Based on this definition, ( ) H t% n measures the average cross-correlation value within the set of the t% most similar column pairs. ...
doi:10.1109/msp.2014.2312834
fatcat:47honwuywjgvnazjflqllmu7fm
Regional mapping of spekboom canopy cover using very high resolution aerial imagery
2018
Journal of Applied Remote Sensing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Results confirmed that redundancy has a negative impact on commonly used ranking and greedy search (stepwise) feature selection methods. ...
A set of 2228 aerial images covering the study area was subsequently acquired from Chief Directorate: National Geo-spatial Information (NGI). ...
IMAGE CLASSIFICATION Image classification refers to the process of assigning objects into classes based on the information contained in the image. ...
doi:10.1117/1.jrs.12.046022
fatcat:zy5b5vazuzb3xezt2izq7s37wi
« Previous
Showing results 1 — 15 out of 632 results