Void-layer detection and thickness determination in runways are studied in this paper. Void-layer is thin layer whose thickness is very small (usually less than 1cm). Firstly, the void-layer can be detected based on i...
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Illumination always affects image quality seriously in practice. To weaken illumination effect on image quality, this paper proposes an adaptive Gamma correction method. First, a mapping between pixel and Gamma values...
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Void characterization under pavements is an important aspect of airfield pavement evaluation and maintenance. This paper studies the thickness estimation of void-layer in runways based on the spectrum optimization inv...
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In order to achieve accurate recognition of human finger vein (FV), this paper addresses the problems of finger vein localization and vein feature extraction. An inherent physical property of human fingers is used to ...
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Contour information always contributes much for object analysis in imageprocessing. In this paper, a new method of constructing contours of skin regions is proposed. To obtain skin regions readily, a region splitting...
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A new crashed airplane detection algorithm based on feature fusion is proposed in this paper. Considering the dihedral characteristic of the airplane's tail and the strong scattering intensity of airplane's bo...
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ISBN:
(纸本)9781467321969
A new crashed airplane detection algorithm based on feature fusion is proposed in this paper. Considering the dihedral characteristic of the airplane's tail and the strong scattering intensity of airplane's body, airplane target detection feature is constructed by combining the above two polarimetric properties. Then Constant False Alarm Rate (CFAR) is used for target detection. Experimental results with real polarimetric data from NASA/JPL UAVASR system demonstrate the effectiveness of the proposed method.
Because of the constraints of lowing flying altitude and small platform size,the motion errors of unmanned aerial vehicle（UAV） synthetic aperture radar（SAR） introduce both phase error and nonsystematic range cell ...
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ISBN:
(纸本)9781538629185
Because of the constraints of lowing flying altitude and small platform size,the motion errors of unmanned aerial vehicle（UAV） synthetic aperture radar（SAR） introduce both phase error and nonsystematic range cell migration（NsRCM）,which significantly degrade the SAR imaging *** this paper,the analytical-spectrum of SAR image is obtained by fast factorized back projection（FFBP） *** NsRCM is carefully analyzed and motion errors are compensated for SAR imaging performance *** results from UAV-SAR data set are presented to validate the advantages of our proposed method.
Recently, finger-vein recognition has been studied extensively for personal identification. Since veins exist inside the finger, the finger-vein images are often not in high quality due to light scattering and absorpt...
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An effective algorithm for PolSAR image speckle reduction is developed in this paper. First, pixels in the image are classified through three steps:i) HH/α plane is used for image initial classification based on the ...
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ISBN:
(纸本)9781467321969
An effective algorithm for PolSAR image speckle reduction is developed in this paper. First, pixels in the image are classified through three steps:i) HH/α plane is used for image initial classification based on the polarization difference;ii) anisotropy A and total backscattering power after PWF are combined for further classification;iii) hierarchical cluster method is applied to get the final classifications. Then, the pixels are selected to be filtered according to their classes by the linear minimize mean square filter. Experimental results with AIRSAR data show that, the new algorithm is more effective than Scattering-Model-Based speckle filter, not only in speckle suppression, but also in polarimetric properties, structure and texture preservation.
Finger-vein image enhancement is of great importance for finger-vein recognition since the quality of the finger-vein images always is very poor in practice. In this paper, a new method based on orientation field is p...
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