搜索资源列表
tect
- 选择性视觉注意机制下的多光谱图像舰船检测-Selective attention mechanism in the multi-spectral image Ship Detection
Top-hat
- 低对比度图像小目标识别,top-hat.海平面小目标(荧光轨迹,舰船)识别-top-hat, dim small target detecting
edge-of-boat-matlab
- 海上舰船的边缘提取 用小波理论实现 比较实用-Ships at sea edge detection using wavelet theory to achieve more practical
Extracting-Ship-Targets
- 针对成像型反舰导弹所获红外图像的特点, 提出了一种将海天/ 海岸线检测与目标提取相结合的舰船目标提取方法。该方法先综合运用Sobel边缘检测和局部Hough变换等数字图像处理技术从红外图像中检测出海天/ 海岸线, 然后通过对Kapur 熵二值化图像进行投影变换实现舰船目标提取。-According to the features of the infrared image obtained by an imaging anti-ship missile, a method which combi
boat-realise
- 本程序用于区分海面舰船与海水。应用算法为小区域方差对比，程序简单，适用于初学者参考的例程。主程序为var.m，dxout.m为方差计算程序。其余图片为测试图片。-This procedure is used to distinguish sea ships with seawater. Application algorithm for small regional variance contrast, simple procedures, suitable for beginners refe
ship-detetion
- 针对卫星遥感海洋可见光图像的一种基于结构纹理分解的舰船目标检测算法， 算法简单，效果很好-ship detection
new_CFAR
- 针对海面舰船检测，构建K分布模型，提出了一种新的CFAR检测算法，可以成功检测出海面舰船。-A new CFAR detection algorithm is proposed to construct the K distribution model for the detection of sea ships and the ship can be detected successfully.