Towards operational knowledge-based remote-sensing image analysis

被引：8

作者：

Smits, PC ^{[1
]}

Annoni, A ^{[1
]}

机构：

[1] Commiss European Communities, Joint Res Ctr, Space Applicat Inst, I-21020 Ispra, VA, Italy

来源：

PATTERN RECOGNITION LETTERS | 1999年 / 20卷 / 11-13期

关键词：

cost-based feature subset selection; segmentation; remote-sensing;

D O I：

10.1016/S0167-8655(99)00115-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper focuses on the problem of cost-based feature subset selection in the framework of the verification and updating of land-cover maps with imagery from different space-borne sensors. The concept of objects is applied and prior knowledge about an object (polygon under analysis) and its direct neighbors is combined with knowledge about the sensor and utilized in a feature subset selection step. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：1415 / 1422

页数：8

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