2014
DOI: 10.1117/1.jrs.8.083656
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Resolution enhancement of passive microwave images from geostationary Earth orbit via a projective sphere coordinate system

Abstract: Abstract. A projective sphere coordinate system in a Wiener filter method to improve the performance of resolution enhancement for microwave radiometer data of a geostationary Earth orbit (GEO) satellite is proposed. Because of the impact of Earth's curvature on remote sensing measurement, the footprint of microwave radiometer is varied while scanning, especially in positions far from subsatellite point. The deconvolution technique used in the microwave radiometer measurements from Earth directly is therefore … Show more

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Cited by 5 publications
(6 citation statements)
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“…It should be noted that, because of the conical scan geometry, the orientation and shape of the PSF change along with the scanning positions [8,9,11]. Thus, the regular simplification of regarding h(x, y, x , y , v) as space invariable and transforming the integration operation in Equation 5to the convolution operation [5,9,14,16,17,24]:…”
Section: Imaging Processmentioning
confidence: 99%
See 3 more Smart Citations
“…It should be noted that, because of the conical scan geometry, the orientation and shape of the PSF change along with the scanning positions [8,9,11]. Thus, the regular simplification of regarding h(x, y, x , y , v) as space invariable and transforming the integration operation in Equation 5to the convolution operation [5,9,14,16,17,24]:…”
Section: Imaging Processmentioning
confidence: 99%
“…Dataset generation: Utilizing the feature that multi-frequency bands of the MWRI scan the region in the exact same way, the 89 GHz antenna temperature image, which has the highest spatial resolution, is used as the simulated brightness temperature image. With the full consideration of the degradation factors for each channel, the simulated antenna temperature images of the v L channel and the simulated antenna temperature images with the corresponding resolution of the v H2 channel and the v H1 channel are produced by the flexible degradation model (Equations (14) and (15)). Then the…”
Section: Asrm Framework Flowchartmentioning
confidence: 99%
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“…To solve this problem, much effort has been made to manipulate the resolution of measurements from various sources, e.g., the Backus-Gilbert inversion (BGI) method [9][10][11][12][13][14][15][16], various filter algorithms [17][18][19], the truncated singular value decomposition method [20,21], and the scatterometer image-reconstruction algorithm [13,22,23]. Recently, many deep-learning-based super-resolution technologies have been proposed to improve the image quality of the natural environment [24][25][26][27][28][29].…”
Section: Introductionmentioning
confidence: 99%