NDLI: Enhancement of dim targets in a sea background based on long-wave infrared polarisation features

Content Provider	IET Digital Library
Author	Zhang, Jing Hua Zhang, Yan Shi, Zhi Guang
Abstract	According to Fresnel's formula and the energy conservation law, a model combining the infrared reflected effect and emitted effect is developed to calculate the polarisation degree. With this model, the polarisation degree difference between the sea surface and ship target in long-wave infrared is simulated. To solve the problem of dim targets detection in a sea background, based on the polarisation difference of the sea surface and ship targets, a method of the non-subsampled shearlets transformation is proposed to fuse the intensity image and polarisation image. The algorithm of distribution coefficients is applied to improve the contrast ratio between targets to background in low-frequency subbands. The denoise scheme of the adaptive threshold is adopted to suppress noise and the conceptions of local direction contrast and region gradient are used as a choosing scheme to the preserve features and edges of images in high-frequency subbands. Image evaluation indices of target contrast with the background and local signal-to-noise ratio are used to evaluate the enhancement effect of fused images. Results show that the evaluation indices of fused images with polarisation features are significantly improved, and comparisons with existing methods demonstrate the effectiveness and reliability of the proposed method.
Starting Page	2042
Ending Page	2050
Page Count	9
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 11, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5607
Journal	IET Image Processing
Publisher Date	2018-07-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Threshold Denoise Scheme Computer Vision And Image Processing Technique Contrast Ratio Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics Dim Target Detection Dim Target Enhancement Distribution Coefficient Algorithm Emitted Effect Energy Conservation Law Enhancement Effect Fresnel Formula Geophysical Image Processing Geophysics Computing Gradient Method High-frequency SubBand Image Denoising Image Enhancement Image Evaluation Indices Image Fusion Infrared Reflected Effect Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Intensity Image Fusion Interpolation And Function Approximation Light Polarisation Local Direction Contrast Local Signal-to-noise Ratio Long-wave Infrared Polarisation Feature Low-frequency SubBand Noise Suppression Nonsubsampled Shearlets Transformation Numerical Analysis Numerical Approximation And Analysis Object Detection Oceanographic And Hydrological Technique And Equipment Oceanographic Technique Optical, Image And Video Signal Processing Polarisation Degree Polarisation Image Fusion Region Gradient Reliability Sea Background Sea Surface Sensor Fusion Ship Target Ships
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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