Super-resolution restoration technique for ground-based imaging of space objects

2021 ◽  
Author(s):  
Jianfeng Zhou ◽  
Yonghui Liang
Keyword(s):  
Super Resolution ◽  
Restoration Technique ◽  
Space Objects

The Improved Hybrid MAP-POCS Based Algorithm for Super-Resolution Image Restoration Research

2014 ◽  
Vol 701-702 ◽  
pp. 373-380 ◽  
Author(s):  
Le Tu Shao ◽  
Hong Gang Zhang ◽  
Guo Hua Zhang
Keyword(s):  
Image Restoration ◽  
Process Model ◽  
Convex Sets ◽  
Degradation Mechanism ◽  
Probability Model ◽  
Super Resolution ◽  
Degradation Process ◽  
Image Degradation ◽  
Resolution Image ◽  
Restoration Technique

Super-resolution image restoration technique can certainly increase the resolution of the obtained images without altering the system hardware conditions, which has become a research hotspot in the fields of remote sensing, military surveillance, public safety and medical imaging. The spatial domain algorithm has been studied widely and deeply, but it still has shortcomings and limitations. This paper studies the image degradation mechanism, establishes a precise image degradation process model, proposes an improved hybrid MAP-POCS restoration algorithm with using the Huber-Markov random field model as the priori probability model, which adds the convex sets constraints to the MAP estimation process and uses the peak signal to noise ratio (PSNR) to evaluate the recovery image quality. The simulation results show that the improved hybrid algorithm combines the only solution solving feature and noise reduction ability of the MAP method and strong prior knowledge utilized feature and flexibility of the POCS method, effectively ensures the convergence stability of the restoration and maintains the edge details of the restored image, enhances the effect of the super-resolution restoration.

scholarly journals A Comparable Study of CNN-Based Single Image Super-Resolution for Space-Based Imaging Sensors

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3234 ◽  
Author(s):  
Haopeng Zhang ◽  
Pengrui Wang ◽  
Cong Zhang ◽  
Zhiguo Jiang
Keyword(s):  
Super Resolution ◽  
Image Data ◽  
Target Space ◽  
Single Image ◽  
Long Distance ◽  
Space Applications ◽  
Space Objects ◽  
Image Super Resolution ◽  
Single Image Super Resolution ◽  
Imaging Sensors

In the case of space-based space surveillance (SBSS), images of the target space objects captured by space-based imaging sensors usually suffer from low spatial resolution due to the extremely long distance between the target and the imaging sensor. Image super-resolution is an effective data processing operation to get informative high resolution images. In this paper, we comparably study four recent popular models for single image super-resolution based on convolutional neural networks (CNNs) with the purpose of space applications. We specially fine-tune the super-resolution models designed for natural images using simulated images of space objects, and test the performance of different CNN-based models in different conditions that are mainly considered for SBSS. Experimental results show the advantages and drawbacks of these models, which could be helpful for the choice of proper CNN-based super-resolution method to deal with image data of space objects.

scholarly journals QUANTITATIVE ASSESSMENT OF A NOVEL SUPER-RESOLUTION RESTORATION TECHNIQUE USING HiRISE WITH NAVCAM IMAGES: HOW MUCH RESOLUTION ENHANCEMENT IS POSSIBLE FROM REPEAT-PASS OBSERVATIONS

2016 ◽  
Vol XLI-B4 ◽  
pp. 503-509 ◽  
Author(s):  
Y. Tao ◽  
J.-P. Muller
Keyword(s):  
Quantitative Assessment ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Landing Site ◽  
Imaging Data ◽  
Martian Surface ◽  
Restoration Technique ◽  
Stereo Reconstruction ◽  
Resolution Imaging ◽  
The Eu

Higher spatial resolution imaging data is always desirable to the international community of planetary scientists interested in improving understanding of surface formation processes. We have previously developed a novel Super-resolution restoration (SRR) technique (Tao & Muller, 2016) using Gotcha sub-pixel matching, orthorectification, and segmented 4th order PDE-TV, called GPT SRR, which is able to restore 5 cm-12.5 cm near rover scale images (equivalent to Navcam projected FoV at a range of ≥ 5 m) from multiple 25 cm resolution NASA MRO HiRISE images. The SRR technique has been successfully applied to the rover traverses for the MER and MSL missions within the EU FP-7 PRoViDE project. These SRR results have revealed new surface information including the imaging of individual rocks (diameter ≥ 25 cm) by comparison of the original HiRISE image and rover Navcam orthorectified image mosaics. In this work, we seek evidence from processing a very large number of stereo reconstruction results from all Navcam stereo images within PRoViDE, registration and comparison with the corresponding SRR image, in order to derive a quantitative assessment on key features including rocks (diameter < 150 cm) and rover track wheel spacing. We summarise statistics from SRR-Navcam measurements and demonstrate that our unique SRR datasets will greatly support the geological and morphological analysis and monitoring of Martian surface and can also be applied to landing site selection, in order to avoid unsuitable terrain, for any future lander/rover as well as help to define future rover paths.

scholarly journals QUANTITATIVE ASSESSMENT OF A NOVEL SUPER-RESOLUTION RESTORATION TECHNIQUE USING HiRISE WITH NAVCAM IMAGES: HOW MUCH RESOLUTION ENHANCEMENT IS POSSIBLE FROM REPEAT-PASS OBSERVATIONS

2016 ◽  
Vol XLI-B4 ◽  
pp. 503-509
Author(s):  
Y. Tao ◽  
J.-P. Muller
Keyword(s):  
Quantitative Assessment ◽  
Resolution Enhancement ◽  
Super Resolution ◽  
Landing Site ◽  
Imaging Data ◽  
Martian Surface ◽  
Restoration Technique ◽  
Stereo Reconstruction ◽  
Resolution Imaging ◽  
The Eu

Higher spatial resolution imaging data is always desirable to the international community of planetary scientists interested in improving understanding of surface formation processes. We have previously developed a novel Super-resolution restoration (SRR) technique (Tao & Muller, 2016) using Gotcha sub-pixel matching, orthorectification, and segmented 4th order PDE-TV, called GPT SRR, which is able to restore 5&thinsp;cm-12.5&thinsp;cm near rover scale images (equivalent to Navcam projected FoV at a range of ≥&thinsp;5&thinsp;m) from multiple 25&thinsp;cm resolution NASA MRO HiRISE images. The SRR technique has been successfully applied to the rover traverses for the MER and MSL missions within the EU FP-7 PRoViDE project. These SRR results have revealed new surface information including the imaging of individual rocks (diameter&thinsp;≥&thinsp;25&thinsp;cm) by comparison of the original HiRISE image and rover Navcam orthorectified image mosaics. In this work, we seek evidence from processing a very large number of stereo reconstruction results from all Navcam stereo images within PRoViDE, registration and comparison with the corresponding SRR image, in order to derive a quantitative assessment on key features including rocks (diameter&thinsp;<&thinsp;150&thinsp;cm) and rover track wheel spacing. We summarise statistics from SRR-Navcam measurements and demonstrate that our unique SRR datasets will greatly support the geological and morphological analysis and monitoring of Martian surface and can also be applied to landing site selection, in order to avoid unsuitable terrain, for any future lander/rover as well as help to define future rover paths.

Space, objects, and motor actions

2006 ◽  
Author(s):  
Michael E. J. Masson ◽  
Daniel N. Bub
Keyword(s):  
Space Objects ◽  
Motor Actions

Super-Resolution Microscopy in Studying the Structure and Function of the Cell Nucleus

Acta Naturae ◽  
2017 ◽  
Vol 9 (4) ◽  
pp. 42-51
Author(s):  
S. S. Ryabichko ◽  
◽  
A. N. Ibragimov ◽  
L. A. Lebedeva ◽  
E. N. Kozlov ◽  
...  
Keyword(s):  
Cell Nucleus ◽  
Super Resolution ◽  
Structure And Function ◽  
And Function ◽  
Super Resolution Microscopy

Postsettlement Alluvium Removal: A Novel Floodplain Restoration Technique (Wisconsin)

2009 ◽  
Vol 27 (2) ◽  
pp. 136-139 ◽  
Author(s):  
E. G. Booth ◽  
S. P. Loheide ◽  
R. D. Hansis
Keyword(s):  
Floodplain Restoration ◽  
Restoration Technique

Hazard of collisions of artificial space objects in geosynchronous orbits

2004 ◽  
Vol 10 (5-6) ◽  
pp. 159-162
Author(s):  
V.P. Epishev ◽  
◽  
I.I. Motrunich ◽  
V.U. Klimyk ◽  
◽  
...  
Keyword(s):  
Space Objects ◽  
Geosynchronous Orbits
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