Title :
Measurement of Sharpness and Its Application in ISAR Imaging
Author :
Junfeng Wang ; Xingzhao Liu
Author_Institution :
Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
It is necessary to measure the sharpness of distributions in many situations. A class of functions is investigated in this paper. First, the relation between this class and sharpness is clarified, and this justifies this class as sharpness measures. Then, we analyze the performance of different sharpness measures and present a guide to select the sharpness measure. In addition, the relation of this class to the sparsity measure is addressed, which leads to a deeper understanding about sparsity. Finally, we show and discuss the application of this class in inverse synthetic aperture radar imaging.
Keywords :
geophysical image processing; radar imaging; remote sensing by radar; synthetic aperture radar; ISAR imaging; distribution sharpness; inverse synthetic aperture radar imaging; sharpness measurement; sparsity measure; Density measurement; Entropy; Extraterrestrial measurements; Imaging; Radar imaging; Seismic measurements; Sensitivity; Contrast; entropy; inverse synthetic aperture radar (ISAR); sharpness; sparsity;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2013.2273554