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In this paper, we present a novel method on image calibration, utilizing Total Least Square (TLS) method and Feedforward Neural Network, to solve the aberration problem of LAMOST two-dimensional astronomical spectral images. In our method, training sample set is generated with domain knowledge, from which a number of discrete points are are extracted from spectral images with fiber tracing method,...
To shorten the time of RS image pre-processing, this paper considered to realize the automation of choosing image process before downloading. RS images are big files, for example, one scene of CBERS-CCD multi-spectrum image can be more than 100 Mb. The searching methods on the satellite data issue webpage are limited, and the searching results still need more time to choose which images are worth...
In this paper, we present a modified projected Landweber super-resolution algorithm for resolution enhancement of passive millimeter wave images. In this algorithm, we implement the Landweber iterations as the main image restoration scheme, and a projection-based adjustment for enforcing constraints after each Landweber iteration is completed to complete spectral extrapolation, lastly we implement...
Passive millimeter wave (PMMW) images have inherently the problem of poor resolution due to limited aperture dimension. Thus efficient post-processing is necessary to achieve resolution improvement. In this paper we present a wavelet-based algorithm for resolution enhancement of passive millimeter wave images. In the algorithm, we implement the wavelet-based Landweber iterations as the main image...
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