Software requirements and support for image-algebraic analysis, detection, and recognition of small targets

Mark S. Schmalz; Gerhard X. Ritter; Robert H. Forsman; Chyuan-Huei Thomas Yang; Wen-Chen Hu; Ryan A. Porter; Gary McTaggart; James F. Hranicky; James F. Davis

doi:10.1117/12.211369

20 June 1995 Software requirements and support for image-algebraic analysis, detection, and recognition of small targets

Mark S. Schmalz, Gerhard X. Ritter, Robert H. Forsman, Chyuan-Huei Thomas Yang, Wen-Chen Hu, Ryan A. Porter, Gary McTaggart, James F. Hranicky, James F. Davis

Author Affiliations +

Proceedings Volume 2496, Detection Technologies for Mines and Minelike Targets; (1995) https://doi.org/10.1117/12.211369
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

The detection of hazardous targets frequently requires a multispectral approach to image acquisition and analysis, which we have implemented in a software system called MATRE (multispectral automated target recognition and enhancement). MATRE provides capabilities of image enhancement, image database management, spectral signature extraction and visualization, statistical analysis of greyscale imagery, as well as 2D and 3D image processing operations. Our system is based upon a client-server architecture that is amenable to distributed implementation. In this paper, we discuss salient issues and requirements for multispectral recognition of hazardous targets, and show that our software fulfills or exceeds such requirements. MATRE's capabilities, as well as statistical and morphological analysis results, are exemplified with emphasis upon computational cost, ease of installation, and maintenance on various Unix platforms. Additionally, MATRE's image processing functions can be coded in vector-parallel form, for ease of implementation of SIMD-parallel processors. Our algorithms are expressed in terms of image algebra, a concise, rigorous notation that unifies linear and nonlinear mathematics in the image domain. An image algebra class library for the C + + language has been incorporated into the our system, which facilitates fast algorithm prototyping without the numerous drawbacks of descrete coding.

Citation Download Citation

Mark S. Schmalz, Gerhard X. Ritter, Robert H. Forsman, Chyuan-Huei Thomas Yang, Wen-Chen Hu, Ryan A. Porter, Gary McTaggart, James F. Hranicky, and James F. Davis "Software requirements and support for image-algebraic analysis, detection, and recognition of small targets", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); https://doi.org/10.1117/12.211369

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available