An Application Study of Remote Sensing Images for Refine Analysis of Vessel Targets
1. College of Information Engineering, Suqian University, Suqian 223800, China
2. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
| Abstract: | With the emergence of high-resolution images, ocean monitoring has not only stayed in the stage of the target discovery. Through the qualitative analysis of the main components of the target, the refine identification of the military ship target can be pointed out as well as its type and equipment, which effectively respond to the combat readiness level and regional dynamics of the military area. Compared with the single source remote sensing images, the fusion images can provide more comprehensive information of the objectives. Nowadays, the accepted image fusion method is divided into pixel-level, feature-level and decision-level. How to apply variety fusion methods to deep excavate complementary information is the focus of this paper. Besides, pixel-level fusion relies on the scattering characteristics of SAR images to eliminate the influence of objective interference on the detection of key components. Feature-level fusion locks the attention features through the visual feature set, and fully excavates the multi-source features of the target. In decision-level fusion, expert guidance and environmental reasoning are integrated to realize the final recognition as well as the results obtained on the above two levels of fusion. Multi-level fusion results finally realize the target recognition according to the refine analysis of target characteristics. |
| Keywords: | Refine Analysis; Image Fusion; Target Detection; SAR Image |
| DOI: | 10.57237/j.earth.2023.02.001 |
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Received: 10 November 2023
Accepted: 15 December 2023
Published Online: 27 December 2023
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