1) Very Large Image
特大图像
1.
A Project of Automatic Extracting Thumbnail from Very Large Image;
特大图像缩略图自动提取系统的构建及实现
2) super large images database
特大图像数据库
3) Image characteristic
图像特征
1.
To obtain a better fusion effect of double wave band image,requires the research of image fusion arithmetic based on the analysis of the similarities and differences of the target radiation transmission feature、imaging trait and image characteristic in different wave bands.
为了对双波段图像达到比较好的融合效果,需要在分析目标辐射传输特性、成像特性和图像特征等在不同波段的异同基础上研究图像融合算法,利用互补信息和冗余信息来增强图像融合效果。
2.
The original image is divided into blocks,and several former Singular Values(SVs) are extracted from each block as the image characteristics,which are used to construct zero-watermark.
针对传统的基于奇异值分解的水印算法水印容量较低的缺陷,提出基于奇异值分解的零水印算法,在分块的基础上提取奇异值向量的前若干项,将其作为图像特征,并利用此特征进行零水印构造。
4) image feature
图像特征
1.
Frontal motion tracking based on image feature analysis;
基于图像特征分析的人体正面运动跟踪研究
2.
Fragile watermarking for image authentication based on image feature and public key cryptography;
基于图像特征和公钥密码系统的易损水印算法
3.
An approach of image feature representation that combines the multi-scale image decomposition technique and contour theory is proposed.
结合多尺度图像分解技术和等高线理论提出了一种图像特征表达方法。
5) Image characteristics
图像特征
1.
This paper describes in brief some interference factors in the application of geological radar to engineering exploration, makes an analysis of image characteristics of interference factors and causes for their formation,suggests some measures for suppressing these interference factors, and provides some basic data for the interpretation of geological radar data in engineering exploration.
介绍了地质雷达在工程勘察中的几种干扰因素 ,并对一些主要干扰因素图像特征及其形成原因进行了分析 ;对如何抑制干扰提出了一些具体措施 ,为工程勘察地质雷达的资料解释提供了可供借鉴的基础资
2.
Their B-scan ultrasound image characteristics were investigated in detail.
结果:根据B超图像特征区分5种主要的外伤性眼内膜性病变,与临床的符合率达86。
3.
This paper describes the radiance-reflectance transformation method based on image characteristics to obtain the reflectance of oil polluted water.
运用基于图像特征的相对发射率数据处理模型,对获得航空高光谱油污染水体数据和正常水体数据进行了反射率提取,得到了相对定标后的油污染水体和正常海水的光谱反射率数据。
6) feature image
特征图像
1.
Methods The feature imageries from Landsat ETM+ sensor were classified in the ERDAS IMAGINE 8.
目的 探讨由LandsatETM +遥感图像组成的特征图像在江滩钉螺孳生地监测中的应用。
补充资料:高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取
高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条