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Front Matter: Volume 10033
2016
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Preserved Fulltext
Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model. ...
using a Base 36 numbering system employing both numerals and letters. ...
on the shearlet
transform [10033-113]
10033 1V
An image-noise estimation approach using singular value decomposition [10033-24]
10033 1W
An efficient adaptive total variation regularization for ...
doi:10.1117/12.2257252
fatcat:v2ipfp2mp5gedjypzpecahpo7e
Special Issue on Intelligent Image Processing and Sensing for Drones
2024
Drones
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Recently, the use of drones or unmanned aerial vehicles (UAVs) for various purposes has been increasing [...] ...
, image super-resolution, image denoising, anomaly detection, and drone imagery. ...
It also shows a wide range of potential as well as the versatility of drones in the near future, encompassing a richness of research fields. ...
doi:10.3390/drones8030087
fatcat:sq7rgavj5zf3nbfaus4kj3etvm
A Fast and Accurate Basis Pursuit Denoising Algorithm With Application to Super-Resolving Tomographic SAR
2018
IEEE Transactions on Geoscience and Remote Sensing
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In this paper, we proposed a novel efficient algorithm for solving the complexvalued L1 regularized least squares problem. ...
L1 regularization is used for finding sparse solutions to an underdetermined linear system. ...
In this work, we address tomographic SAR (TomoSAR), for which A is an irregular Fourier transform matrix with a typical matrix size of ca. 100 times 1 million. ...
doi:10.1109/tgrs.2018.2832721
fatcat:h3k4qdmgazdfpkf4fsbm7b4mbi
Front Matter: Volume 10806
2018
Tenth International Conference on Digital Image Processing (ICDIP 2018)
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Publication of record for individual papers is online in the SPIE Digital Library. SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model. ...
using a Base 36 numbering system employing both numerals and letters. ...
[10806-23]
IMAGE INFORMATION MANAGEMENT AND SECURITY
10806 4N
A super-resolution infrared image information acquisition method based on mechanism of eye
micro-movements [10806-37]
10806 4O
Comparison ...
doi:10.1117/12.2510343
fatcat:maohjht2t5apneao4iivotwxey
Deep Learning for Integrated Speckle Reduction and Super-Resolution in Multi-Temporal SAR
2023
Remote Sensing
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Therefore, this study proposes a deep learning network for integrated speckle reduction and super-resolution in multi-temporal SAR (ISSMSAR). ...
noise and low resolution on SAR images. ...
This approach aims to achieve more effective speckle reduction and super-resolution processing for SAR images. ...
doi:10.3390/rs16010018
fatcat:mmqtu2gzmrexdgpo2miognehqe
2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57
2019
IEEE Transactions on Geoscience and Remote Sensing
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Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging on Arbitrary Region of Interest; TGRS ...
., Geosynchronous SAR Tomography: Theory and First Experimental Verification Using Beidou IGSO Satellite; TGRS Sept. 2019 6591-6607 Hu, F., Wu, J., Chang, L., and Hanssen, R.F., Incorporating Temporary ...
., TGRS Sept. 2019 6499-6516 An Efficient and Accurate GB-SAR Imaging Algorithm Based on the Fractional Fourier Transform. ...
doi:10.1109/tgrs.2020.2967201
fatcat:kpfxoidv5bgcfo36zfsnxe4aj4
2012 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 50
2012
IEEE Transactions on Geoscience and Remote Sensing
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., +, TGRS April 2012 1329-1339 Demonstration of Super-Resolution for Tomographic SAR Imaging in Urban Environment. Zhu, X. ...
., +, TGRS April 2012 1033-1047
Demonstration of Super-Resolution for Tomographic SAR Imaging in
Urban Environment. Zhu, X. ...
Radar resolution A Novel Method for Imaging of Group Targets Moving in a Formation. Bai, X., +, TGRS Jan. 2012 ...
doi:10.1109/tgrs.2012.2229656
fatcat:hjrotpfsqzhxlnnme27ftv33cu
Super-resolution of a 3-dimensional scene from novel viewpoints
2012
2012 12th International Conference on Control Automation Robotics & Vision (ICARCV)
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inverse tensor transfer for novel view synthesis, culminating in method for multi-view super-resolution which demonstrates that it is indeed possible to extend superresolution concepts from two dimensions ...
The proposed robust inverse tensor transfer algorithm for novel view synthesis achieves significant robustness and quality improvements compared to existing methods by introducing a novel multi-stage approach ...
Chapter 7 describes a complete multi-view super-resolution technique that combines concepts developed throughout the thesis to complete the vision of a super-resolution approach capable of generating novel ...
doi:10.1109/icarcv.2012.6485347
dblp:conf/icarcv/NelsonBN12
fatcat:wfakbldhzfhl3jlkcwsuu7v34m
Super-Resolution of Near-Surface Temperature Utilizing Physical Quantities for Real-Time Prediction of Urban Micrometeorology
[article]
2021
arXiv
pre-print
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The present paper proposes a super-resolution (SR) model based on a convolutional neural network and applies it to the near-surface temperature in urban areas. ...
We train the SR model with sets of low-resolution (LR) and high-resolution (HR) images from building-resolving large-eddy simulations (LESs) in a city, where the horizontal resolutions of LR and HR are ...
Super-resolution (SR) refers to a method of estimating high-resolution
images from low-resolution ones and has been actively studied in the field
of computer vision in recent years as an application of ...
arXiv:2108.00806v2
fatcat:mkfsrpyiwfhpzd3sq4sunkpj3u
Water-Body Segmentation for SAR Images: Past, Current, and Future
2022
Remote Sensing
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Synthetic Aperture Radar (SAR), as a microwave sensor that can sense a target all day or night under all-weather conditions, is of great significance for detecting water resources, such as coastlines, ...
This paper reviews literature published in the past 30 years in the field of water body extraction in SAR images, and makes some proposals that the community working with SAR image waterbody extraction ...
[57] employed FCM for rough segmentation, and then utilized a lightweight residual CNN for local super-resolution restoration, to achieve high-precision water segmentation from SAR images in a clever ...
doi:10.3390/rs14071752
fatcat:nslhmftmkvhsfnufnlqywzfdjq
Synthetic Aperture Radar Interferometry (InSAR) Ionospheric Correction Based on Faraday Rotation: Two Case Studies
2019
Applied Sciences
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factor of eight times for the high-latitude region and 28 times for low-latitude region, compared to those of the original phase, demonstrating the efficiency of the method. ...
For a performance test of the selected method, L-band Advanced Land Observation Satellite (ALOS) Phase Array L-band SAR (PALSAR) full-polarimetric SAR images over high-latitude and low-latitude regions ...
We are grateful to the anonymous reviewers for their constructive comments to improve this manuscript.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app9183871
fatcat:ahudfct2xjfdthxsauznvohp2i
Urban surface reconstruction in SAR tomography by graph-cuts
2019
Computer Vision and Image Understanding
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Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 pre-print arXiv:2103.07202v1 fatcat:5sg2zki6k5cbhpt7rdflannxuq
SAR (Synthetic Aperture Radar) tomography reconstructs 3-D volumes from stacks of SAR images. High-resolution satellites such as TerraSAR-X provide images that can be combined to produce 3-D models. ...
Illustrations on a TerraSAR-X tomographic dataset demonstrate the potential of the approach to produce a 3-D model of urban surfaces such as ground, façades and rooftops. ...
Following a typical approach in computer vision for surface reconstruction, we formulate the problem as an energy minimization problem. ...
doi:10.1016/j.cviu.2019.07.011
fatcat:hqw7pn6q65funmx4ndxp2m2bpm
Seeing Through Clouds in Satellite Images
[article]
2021
arXiv
pre-print
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This paper presents a neural-network-based solution to recover pixels occluded by clouds in satellite images. ...
We leverage radio frequency (RF) signals in the ultra/super-high frequency band that penetrate clouds to help reconstruct the occluded regions in multispectral images. ...
Only pixels belonging to the field is shown.Figure 13: NDVI predictions with SpaceEye for a hilly farm for the 2019 growing season near Pullman, Washington. ...
arXiv:2106.08408v1
fatcat:jzxkeywgiba7rbtukzona4iagy
A Guide to Image and Video based Small Object Detection using Deep Learning : Case Study of Maritime Surveillance
[article]
2022
arXiv
pre-print
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In addition, the popular datasets that have been used for SOD for generic and maritime applications are discussed, and also well-known evaluation metrics for the state-of-the-art methods on some of the ...
Multidisciplinary strategies are being developed by researchers working at the interface of deep learning and computer vision to enhance the performance of SOD deep learning based methods. ...
There are typically two types of super-resolution strategies for small object detection: (i) image super-resolution and (ii) feature super-resolution. Haris et al. ...
arXiv:2207.12926v1
fatcat:fjcuijt2f5d63apgg67eiydofa
Self-supervised remote sensing feature learning: Learning Paradigms, Challenges, and Future Works
[article]
2022
arXiv
pre-print
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We further analyze the effect of SSFL signals and pre-training data on the learned features to provide insights for improving the RSI feature learning. ...
feature learning (USFL), supervised feature learning (SFL), and self-supervised feature learning (SSFL)), this paper analyzes and compares them from the perspective of feature learning signals, and gives a ...
[99] proposed a two-branch super-resolution model for learning coupled spatial-spectral features based on the hypothesis of content consistency between the two modal data. ...
arXiv:2211.08129v1
fatcat:iqcdpht44nelrgjmhxouq6wwhu
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