scholarly journals A Radiometric Correction Method of Linear-Array-Sensor Image by Estimating Variations of Detector Characteristics

1986 ◽  
Vol 22 (4) ◽  
pp. 428-435
Author(s):  
Koichi HOMMA ◽  
Akira TSUBOI ◽  
Fuminobu KOMURA
2016 ◽  
Vol 2016 ◽  
pp. 1-6 ◽  
Author(s):  
Changjun Zha ◽  
Yao Li ◽  
Jinyao Gui ◽  
Huimin Duan ◽  
Tailong Xu

Using the characteristics of a moving object, this paper presents a compressive imaging method for moving objects based on a linear array sensor. The method uses a higher sampling frequency and a traditional algorithm to recover the image through a column-by-column process. During the compressive sampling stage, the output values of the linear array sensor are multiplied by a coefficient that is a measurement matrix element, and then the measurement value can be acquired by adding all the multiplication values together. During the reconstruction stage, the orthogonal matching pursuit algorithm is used to recover the original image when all the measurement values are obtained. Numerical simulations and experimental results show that the proposed compressive imaging method not only effectively captures the information required from the moving object for image reconstruction but also achieves direct separation of the moving object from a static scene.


2014 ◽  
Vol 53 (2) ◽  
pp. 023101 ◽  
Author(s):  
Srikant Chari ◽  
Eddie L. Jacobs ◽  
Divya Choudhary

Sign in / Sign up

Export Citation Format

Share Document