Detection Of Objects In High Resolution Multispectral Aerial Images

Mohan M. Trivedi; Charles A. Harlow; Daniel H. Cress; Chuxin Chen

doi:10.1117/12.948445

5 April 1985 Detection Of Objects In High Resolution Multispectral Aerial Images

Mohan M. Trivedi, Charles A. Harlow, Daniel H. Cress, Chuxin Chen

Proceedings Volume 0548, Applications of Artificial Intelligence II; (1985) https://doi.org/10.1117/12.948445
Event: 1985 Technical Symposium East, 1985, Arlington, United States

Abstract

In this paper problem of detecting unique objects in high resolution multispectral imagery is addressed. The approach is to effectively utilize information extracted from images with available knowledge about various attributes characterizing objects. The analysis involves processing of both spectral and spatial domain information. Feasibility of the approach is verified by performing experiments using high resolution multispectral images. Results are promising and it is believed that computational requirements for the approach can meet specifications of an operational system.

Citation Download Citation

Mohan M. Trivedi, Charles A. Harlow, Daniel H. Cress, and Chuxin Chen "Detection Of Objects In High Resolution Multispectral Aerial Images", Proc. SPIE 0548, Applications of Artificial Intelligence II, (5 April 1985); https://doi.org/10.1117/12.948445

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