针对高分辨率遥感图像舰船目标识别问题，提出了一种基于支持向量机的舰船目标分类方法。
Aiming at recognizing ship target in high resolution satellite images, a classification method based on Support Vector Machine (SVM) is proposed.
红外图像中的舰船目标识别是反舰导弹成像制导过程中的关键技术，舰船目标图像识别的质量和速度决定了制导过程的水平。
The ship target's recognition in the IR image is the key technique in the anti-warship missile guiding. The effort of the guiding progress depends on the quality and speed of the target recognizing.
本文旨在通过以上研究，能够对声矢量信号中的线谱成分有充分的认识和提取到尽可能多的特征，从而进一步提高舰船目标识别率。
This paper aims to get enough knowledge of line spectrum in acoustic vector signal and extract as more features as possible so as to improve the recognition-rate of targets.
DEMON分析是舰船噪声目标识别的重要分析手段之一。
DEMON analysis is one of the most important means for underwater target recognition.
根据舰船轴频电场信号的特点，提出了基于小波变换和神经网络的目标识别和分类方法。
According to the characteristic of shaft-rate electric field of ships, the recognition and classification methods of ship targets based on wavelet transform and neural network were proposed.
研究了红外成像型制导系统舰船目标实时识别技术，提出一种新的舰船红外成像目标识别算法。
The real time recognition technique of infrared imaging guiding system ship target was discussed and a new recognition algorithm of ship infrared imaging target was proposed.
舰船噪声调制包络谱是水下目标识别的重要特征。
The target classifier is an important composition of the underwater target recognition system.
本文针对海天背景下红外舰船目标的识别，提出了一种基于天水线的目标识别方法。
Aiming at the recognition of infrared naval ships under the background of sky and sea, a new method, based on the sky-water line, is presented in this paper.
本文针对海天背景下红外舰船目标的识别，提出了一种基于天水线的目标识别方法。
Aiming at the recognition of infrared naval ships under the background of sky and sea, a new method, based on the sky-water line, is presented in this paper.
应用推荐