A NAGAO-MATSUYAMA APPROACH TO HIGH-RESOLUTION SATELLITE IMAGE CLASSIFICATION

被引：18

作者：

BARALDI, A

PARMIGGIANI, F

机构：

[1] IMGA-CNR, Modena, Italy

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1994年 / 32卷 / 04期

关键词：

Aerial photography - Algorithms - Classification (of information) - Hierarchical systems - Image analysis - Knowledge based systems - Multispectral scanners - Satellites - Signal filtering and prediction;

D O I：

10.1109/36.298004

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

A knowledge-based, hierarchical, unsupervised classification scheme for high-resolution multispectral satellite (HRMS) images is described. This scheme, which finds its conceptual bases in the work of Nagao and Matsuyama for structural analysis of aerial photographs, introduces a new filtering algorithm which is able to preserve fine linear structures of the image. An example of the application of this classification scheme to a Landsat Thematic Mapper multispectral image is presented.

引用

页码：749 / 758

页数：10

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