scholarly journals A Method for the Reduction of Out-of-Band Measurement Errors in Multi-band Instruments using Synthetic Source Distributions

2022 ◽  
Vol 2149 (1) ◽  
pp. 012018
Author(s):  
S W Brown ◽  
P-S Shaw

Abstract A method to reduce multi-band sensor measurement biases due to finite out-of-band response is described. The method takes advantage of the fact that out-of-band measurement errors cancel if the calibration source and the measured source have the same spectral distributions—independent of their spectral distributions or the magnitude of a sensor band’s out-of-band response. Using a known spectral responsivity, a synthetic, arbitrary source spectral distribution can replace a realized spectral distribution in the measurement equation and the signal can be calculated rather than measured. Given the freedom to select any arbitrary distribution for the synthetic source, the efficacy of the approach depends on the fidelity of the replication of the measured spectrum by the synthetic source spectrum. To illustrate the method, an example application is given of top-of-the-atmosphere measurements of water-leaving radiance by multi-band filter radiometers on celestial Earth-viewing sensors.

2020 ◽  
Vol 14 (5) ◽  
pp. 288-299
Author(s):  
Muthu Philominal Actlin Jeeva ◽  
Thangavelu Nagarajan ◽  
Parthasarathy Vijayalakshmi

Author(s):  
J. Olivares ◽  
E. Wegmann ◽  
M. Clement ◽  
J. Capilla ◽  
E. Iborra ◽  
...  

2018 ◽  
Vol 47 (3) ◽  
pp. 320002
Author(s):  
常君磊 Chang Junlei ◽  
李富强 Li Fuqiang ◽  
王伟刚 Wang Weigang ◽  
李庆林 Li Qinglin ◽  
张楠 Zhang Nan ◽  
...  

2015 ◽  
Vol 18 (03n04) ◽  
pp. 1550015
Author(s):  
JIAO BO ◽  
LU ZHI-YONG ◽  
SHI JIAN-MAI

Semidefinite integer programming model is an accurate tool for the structural design of networks. In this paper, we propose a semidefinite integer programming model with the constraints of spectral distributions and node degree distributions for the simulation of complex networks. Also, the feasible solutions and branch-and-bound solving algorithms of the model are designed. Based on eight metrics (e.g., spectral distribution, node degree distribution, clustering coefficients, etc.), the validity and practicability of the proposed method are illustrated.


2019 ◽  
Vol 10 (01) ◽  
pp. 2150011
Author(s):  
Roger Van Peski

Koloğlu, Kopp and Miller compute the limiting spectral distribution of a certain class of real random matrix ensembles, known as [Formula: see text]-block circulant ensembles, and discover that it is exactly equal to the eigenvalue distribution of an [Formula: see text] Gaussian unitary ensemble. We give a simpler proof that under very general conditions which subsume the cases studied by Koloğlu–Kopp–Miller, real-symmetric ensembles with periodic diagonals always have limiting spectral distribution equal to the eigenvalue distribution of a finite Hermitian ensemble with Gaussian entries which is a ‘complex version’ of a [Formula: see text] submatrix of the ensemble. We also prove an essentially algebraic relation between certain periodic finite Hermitian ensembles with Gaussian entries, and the previous result may be seen as an asymptotic version of this for real-symmetric ensembles. The proofs show that this general correspondence between periodic random matrix ensembles and finite complex Hermitian ensembles is elementary and combinatorial in nature.


Author(s):  
Aldo De Sabata ◽  
Ladislau Matekovits ◽  
Helga Maria ◽  
L. Ulrich ◽  
Alexandru Marius Silaghi
Keyword(s):  

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