A recent advance in remote sensing technology :the application of knowledge-based system to image classification


Citation

Raveentheran Suntheralingam, . (1995) A recent advance in remote sensing technology :the application of knowledge-based system to image classification. [Proceedings Paper]

Abstract

Classification of remotely-sensed images involves a decision-making process that results in the assignment of the most appropriate class label to relevant pixels in an image. Knowledge-based image classification is achieved using sets of rules obtained from experienced human image analysts. These rules recognise the unique spatial and spectral properties of pixels associated with a particular class label. This paper reviews approaches to image classification and discusses aspects of human reasoning that can be applied to knowledge-based systems for the classication of remotely-sensed images.


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Abstract

Classification of remotely-sensed images involves a decision-making process that results in the assignment of the most appropriate class label to relevant pixels in an image. Knowledge-based image classification is achieved using sets of rules obtained from experienced human image analysts. These rules recognise the unique spatial and spectral properties of pixels associated with a particular class label. This paper reviews approaches to image classification and discusses aspects of human reasoning that can be applied to knowledge-based systems for the classication of remotely-sensed images.

Additional Metadata

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Item Type: Proceedings Paper
Additional Information: Available at Perpustakaan Sultan Abdul Samad Universiti Putra Malaysia 43400 UPM Serdang Selangor Malaysia. G70.5 A7S471 1995 Call Number
AGROVOC Term: REMOTE SENSING
AGROVOC Term: TECHNOLOGY
AGROVOC Term: KNOWLEDGE BASED SYSTEMS
AGROVOC Term: DECISION SUPPORT
AGROVOC Term: MALAYSIA
Geographical Term: MALAYSIA
Depositing User: Ms. Suzila Mohamad Kasim
Last Modified: 24 Apr 2025 05:13
URI: http://webagris.upm.edu.my/id/eprint/10944

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