Newsam Shawn, Wang Lei, Bhagavathy Sitaram, Manjunath Bangalore S
Department of Electrical and Computer Engineering, University of California, Santa Barbara, Santa Barbara, California 93106, USA.
Appl Opt. 2004 Jan 10;43(2):210-7. doi: 10.1364/ao.43.000210.
We describe recent research into using the visual primitive of texture to analyze and manage large collections of remote sensed image and video data. Texture is regarded as the spatial dependence of pixel intensity. It is characterized by the amount of dependence at different scales and orientations, as measured with frequency-selective filters. A homogeneous texture descriptor based on the filter outputs is shown to enable (1) content-based image retrieval in large collections of satellite imagery, (2) semantic labeling and layout retrieval in an aerial video management system, and (3) statistical object modeling in geographic digital libraries.
我们描述了近期有关利用纹理这一视觉基元来分析和管理大量遥感图像与视频数据的研究。纹理被视为像素强度的空间相关性。它由不同尺度和方向上的相关量来表征，通过频率选择滤波器进行测量。基于滤波器输出的一种均匀纹理描述符被证明能够实现：（1）在大量卫星图像集中基于内容的图像检索；（2）航空视频管理系统中的语义标注和布局检索；以及（3）地理数字图书馆中的统计对象建模。
