Microwave imaging of the brightness temperature distribution of extended areas in the near and far field using two-dimensional aperture synthesis with high spatial resolution

Radio Science ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 781-801 ◽  
Author(s):  
Markus Peichl ◽  
H. Suess ◽  
M. Suess ◽  
S. Kern
Author(s):  
Hiroaki Shishido ◽  
Kazuma Nishimura ◽  
The Dang Vu ◽  
Kazuya Aizawa ◽  
Kenji M Kojima ◽  
...  

2014 ◽  
Vol 41 (6Part32) ◽  
pp. 549-550
Author(s):  
H Li ◽  
J Driewer ◽  
Z Han ◽  
D Low ◽  
D Yang ◽  
...  

2021 ◽  
Vol 2 (6) ◽  
pp. 227
Author(s):  
Katherine de Kleer ◽  
Michael Skrutskie ◽  
Jarron Leisenring ◽  
Ashley G. Davies ◽  
Al Conrad ◽  
...  

Abstract Unraveling the geological processes ongoing at Io’s numerous sites of active volcanism requires high spatial resolution to, for example, measure the areal coverage of lava flows or identify the presence of multiple emitting regions within a single volcanic center. In de Kleer et al. (2017) we described observations with the Large Binocular Telescope during an occultation of Io by Europa at ∼6:17 UT on 2015 March 8 and presented a map of the temperature distribution within Loki Patera derived from these data. Here we present emission maps of three other volcanic centers derived from the same observation: Pillan Patera, Kurdalagon Patera, and the vicinity of Ulgen Patera/PV59/N Lerna Regio. The emission is localized by the light curves and resolved into multiple distinct emitting regions in two of the cases. Both Pillan and Kurdalagon Paterae had undergone eruptions in the months prior to our observations, and the location and intensity of the emission are interpreted in the context of the temporal evolution of these eruptions observed from other facilities. The emission from Kurdalagon Patera is resolved into two distinct emitting regions separated by only a few degrees in latitude that were unresolved by Keck observations from the same month.


2013 ◽  
Vol 760-762 ◽  
pp. 1524-1528 ◽  
Author(s):  
Ya Feng Zhang ◽  
Jian Guo Wen ◽  
Jun Ling Zhu ◽  
Jian Lin Yu

Data fusion technique can produce fused images with high spatial resolution and abundant spectral information. A new image fusion algorithm based on two-dimension PCA and Curvelet transform will be proposed according to image process models specialities in this paper. First of all, we performed 2DPCA on the MS image to get the 1st principle component (PC1); then we applied Curvelet transform in Pan Image and PC1; lastly decomposition coefficients obtained was processed according to certain rules to get fused coefficients, and afterwards, we performed inverse Curvelet transform on them to acquire fused sub-images. Then we performed inverse 2DPCA transform on the other components and the fused sub-images to get fused images. Experiments will be carried out via application of multispectral and panchromatic images, and it turns out that this new algorithm can improve spatial resolution greatly while maintaining spectral information.


Icarus ◽  
2019 ◽  
Vol 319 ◽  
pp. 627-644 ◽  
Author(s):  
Yong-Chun Zheng ◽  
Kwing Lam Chan ◽  
Ken T. Tsang ◽  
Yong-Chao Zhu ◽  
Guo Ping Hu ◽  
...  

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