REGION EXTRACTION AND SHAPE ANALYSIS IN AERIAL PHOTOGRAPHS

被引：138

作者：

NAGAO, M

MATSUYAMA, T

IKEDA, Y

机构：

[1] Department of Electrical Engineering, Kyoto University, Sakyo, Kyoto

来源：

COMPUTER GRAPHICS AND IMAGE PROCESSING | 1979年 / 10卷 / 03期

关键词：

D O I：

10.1016/0146-664X(79)90001-7

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

A new system for the analysis of aerial photographs of suburban areas is presented. In this system, regions are characterized by various spectral and spatial features such as brightness, color, size, shape, texture, and spatial relationships with other regions. The analysis proceeds from a global survey of the picture to the detailed analysis of specific regions. The former process extracts several kinds of characteristic regions which are supposed to include specific objects by using knowledge-free picture processing programs. In the detailed analysis, several object-detection programs perform parallel analysis of extracted characteristic regions in detail to recognize objects such as crop fields, woods, roads, and houses. Then the properties of the recognized objects are used to aid in analysis of the rest of the picture which was left unrecognized at the first step of recognition. Experimental results show that this system is quite useful in analyzing aerial photographs of complex suburban areas. © 1979 Academic Press, Inc.

引用

页码：195 / 223

页数：29

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