Abstract
With the improvement of image resolution in synthetic aperture radars (SARs), sea clutter characteristics become more complex, which poses new challenges to traditional ship target detection missions. In this paper, to detect ship targets quickly and efficiently in a complex background, we propose an adaptive hierarchical detection method based on a coarse-to-fine mechanism. This method constructs a new visual attention mechanism to strengthen ship targets and obtain the candidate targets adaptively by the means dichotomy method. On this basis, the precise detection results of the targets are obtained using the speed block kernel density estimation method, which maintains constant false alarm characteristics. Compared with existing methods, the adaptive hierarchical detection method has simple, fast, and accurate characteristics. Experiments based on GF-III satellite and airborne SAR datasets are presented to demonstrate the effectiveness of the proposed method.
Highlights
Ocean monitoring that uses earth observation data includes many activities and applications that support different needs: sustainable fishing, marine ecosystem protection, natural resource extraction, commerce, trade, etc
The results are compared with the processing results of various ship detection methods. 4.1
In order to improve the robustness of ship target detection in high-resolution Synthetic aperture radars (SARs) and avoid the mismatch risk of the clutter model, a nonparametric fast high-resolution SAR image ship target detection method based on the coarse-to-fine mechanism is proposed in this paper
Summary
Ocean monitoring that uses earth observation data includes many activities and applications that support different needs: sustainable fishing, marine ecosystem protection, natural resource extraction, commerce, trade, etc. As an important maritime application, ship detection plays an increasingly essential role in marine monitoring and maritime traffic supervision. Synthetic aperture radars (SARs) have the unique capability of earth observation in all-weather conditions, regardless whether it is day or night. Due to the variation of backscatter properties of different objects, SAR images can provide discriminative features for reliable scene understanding and interpretation, which is the basic principle of SAR image ship detection [2]. With the rapid development of SAR technology, such as TerraSAR-X, RADARSAT–2, and GF-III, it is no longer difficult to acquire high-resolution SAR images, which has promoted the application of SAR images in the field of ship target detection [3]
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