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Towards operational knowledge-based remote-sensing image analysis

delete1999-11-01
delete8
PRE
AI
P
P.C. Smits
A
Alessandro Annoni
DOI：10.1016/S0167-8655(99)00115-4delete
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Abstract

Abstract

En 中文
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.
Keywords:
cost-based feature subset selection
segmentation
remote-sensing
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
7.8K
Citations:
1.6W

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