Version 1
: Received: 26 April 2017 / Approved: 26 April 2017 / Online: 26 April 2017 (06:06:19 CEST)
How to cite:
Liu, C.; Qi, Y.; Ding, W. Multitask Saliency Detection model for SAR Image and Its Application in SAR and Optical Image Fusion. Preprints2017, 2017040165. https://doi.org/10.20944/preprints201704.0165.v1
Liu, C.; Qi, Y.; Ding, W. Multitask Saliency Detection model for SAR Image and Its Application in SAR and Optical Image Fusion. Preprints 2017, 2017040165. https://doi.org/10.20944/preprints201704.0165.v1
Liu, C.; Qi, Y.; Ding, W. Multitask Saliency Detection model for SAR Image and Its Application in SAR and Optical Image Fusion. Preprints2017, 2017040165. https://doi.org/10.20944/preprints201704.0165.v1
APA Style
Liu, C., Qi, Y., & Ding, W. (2017). Multitask Saliency Detection model for SAR Image and Its Application in SAR and Optical Image Fusion. Preprints. https://doi.org/10.20944/preprints201704.0165.v1
Chicago/Turabian Style
Liu, C., Yue Qi and Wenrui Ding. 2017 "Multitask Saliency Detection model for SAR Image and Its Application in SAR and Optical Image Fusion" Preprints. https://doi.org/10.20944/preprints201704.0165.v1
Abstract
Saliency detection in synthetic aperture radar (SAR) image is a difficult problem. This paper proposed a multitask saliency detection (MSD) model for the saliency detection task of SAR image. Firstly, we extract four features of SAR image as the input of the MSD model, which include the intensity, orientation, uniqueness and global contrast. Then, the saliency map is generated by the multitask sparsity pursuit (MTSP) which integrates the multiple features collaboratively. Subjective and objective evaluation of the MSD model verifies its effectiveness. Based on the saliency maps of the source images, an image fusion method is proposed for the SAR and color optical image fusion. The experimental results of real data show the proposed image fusion method is superior to the presenting methods in terms of several universal quality evaluation indexes, as well as in the visual quality. The salient areas in the SAR image can be highlighted and the spatial and spectral details of color optical image can also be preserved in the fusion result.
Keywords
synthetic aperture radar; features extraction; saliency detection; image fusion
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
