Based on methods and approaches in pixel-based image analysis, this thesis develops several results which focus on scaling and scale choose in object-oriented image analysis. Two aspects of optimal scale are exploited in object-oriented image analysis.
本文在分析基于像元尺度问题研究方法的基础上，围绕面向对象影像分析中存在的尺度转换与最优尺度选择问题，开展了如下几个方面的研究： 1．提出面向对象影像分析中最优尺度的双重性：一是提取面积最小类别所需的最大分辨率，二是不同类别提取的最优分割尺度。
参考来源 - 面向对象影像分析中的尺度问题研究Traditional pixel-based classification method can not give a satisfied performance for High Resolution Imagery. Its accuracy of classification is far from productive demand.
传统的基于像素光谱信息分类的方法在对这些高分辨率的遥感影像分类时显得力不从心，所得到的精确度远远达不到生产的要求。
参考来源 - 纹理信息在遥感影像分类中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
Layouts usually have a fixed width (pixel-based) (92%) and are usually centered (94%).
布局通常采用固定宽度(基于像素)(92%)并且通常是居中的(94%)。
In general, image alignment algorithms can be divided into two groups, pixel-based image alignment and feature-based image alignment.
图像对齐方法通常可以分为两类，即基于象素值的图像对齐方法和基于特征的图像对齐方法。
The results of experiment show that the reconstruction speed is largely promoted compared with the traditional square-pixel-based IART algorithm.
实验结果表明，与传统的基于正方形像素的插值代数重建算法相比，该算法显著地提高了重建速度。
应用推荐