Images captured underwater usually suffer from color distortion, detail blurring, low contrast,
and a bluish or greenish tone due to light scattering and absorption in the underwater …

通过处理声呐图像实现水下目标检测具有重大的军事与民用意义. 文章对基于声呐图像的水下
目标检测原理, 方法, 算法和发展趋势进行了全面阐述. 将基于声呐图像的水下目标检测任务分为 …

A sonar image affected by reverberation noise would generate serious speckle noise in the
image, which causes great trouble for the later sonar image target segmentation and …

Underwater target detection by processing sonar images is of great military and civil
significance. This paper comprehensively describes the principles, methods, algorithms, and …

We consider using sparse representations to identify underwater targets, since underwater
acoustic signal have sparse characteristics. We consider the identification problem as one of …

Aiming at the limitation of underwater target detection method, a detection method based on
Faster RCNN is proposed. Using a variety of convolution neural networks to extract image …

This paper mainly describes studies hydrophone placement strategy in a complex
underwater environment model to compute a set of" good" locations where data sampling …

水声定位系统是现代深海作业必备的高精度水下定位装备, 精确的时延估计是实现高精度水声
定位的基础, 但由于信号远距离传输以及**干扰的影响, 水声定位系统时延估计精度较低 …

Due to the complexity and diversity of underwater environment, high-precision and fast
target detection is a scientific problem in underwater acoustic information extraction …