The most distinctive characteristic of synthetic aperture radar (SAR) is that it can acquire data under all weather conditions and at all times. However, its coherent imaging mechanism introduces a great deal of speckle noise into SAR images, which makes
1.Establishingtarget recognitiontemplate in SAR images based on electromagnetic characteristics;基于电磁特性SAR图像目标识别模板的建立 2.Research on application of MET1 evidence theory intarget recognition;MET1证据理论在不变矩目标识别中的应用研究 3.Singletarget recognitionthrough acousticsignal based on DSP ...
An extensive data collection using the CARABAS-II sensor was performed in the late spring of 2002 in northern Sweden. In total, 150 radar registrations were made to capture SAR images over the area of interest. Some were redundant measurements to address issues on the temporal scene stability ...
SAR images contain clutter along with noise; therefore, to be able to identify which target is within the scope of the application is also a difficult job; hence it has to undergo pre-processing such as suppression of noise and detection of the region of interest. These processes can corrupt...
The traditional target detection and recognition methods can be expressed as (1) target feature extraction; (2) target recognition; (3) target location. The features used here are artificially designed, such as Hough transform algorithm, scale-invariant feature transform (SIFT), histogram of oriented...
The detection precision of infrared seeker directly affects the guidance precision of infrared guidance system. To solve the problem of low target detection accuracy caused by the change of imaging scale, complex ground background and inconspicuous infra
Target detection in SAR images using sift. In Proceedings of the 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Abu Dhabi, UAE, 7–10 December 2015; pp. 90–94. 37. Ioffe, S.; Szegedy, C. Batch normalization: Accelerating deep network training by...
In response to the aforementioned problems, this paper proposes DSDet for ship target detection in high-resolution SAR images, as illustrated in Figure 1. First, a style embedded ship sample data augmentation network (SEA) is constructed to augment the dataset. Then, a lightweight densely connect...
In response to the aforementioned problems, this paper proposes DSDet for ship target detection in high-resolution SAR images, as illustrated in Figure 1. First, a style embedded ship sample data augmentation network (SEA) is constructed to augment the dataset. Then, a lightweight densely connect...
Scattering-Point-Guided RPN for Oriented Ship Detection in SAR Images. Remote. Sens. 2023, 15, 1411. [Google Scholar] [CrossRef] Chen, S.; Wang, H.; Xu, F.; Jin, Y.-Q. Target Classification Using the Deep Convolutional Networks for SAR Images. IEEE Trans. Geosci. Remote. Sens. ...