Heterogeneous networks of workstations have rapidly become a cost-effective computing solution in many application areas. This paper develops several highly innovative parallel algorithms for target detection in hyperspectral imagery, considered to be a crucial goal in remote sensing-based homeland security and defense applications. In order to illustrate parallel performance, we consider four (partially and fully) heterogeneous networks of workstations distributed among different locations at

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... niversity of Maryland, and also a massively parallel Beowulf cluster at NASA's Goddard Space Flight Center. Experimental results indicate that heterogeneous networks can be used as a viable low-cost alternative to homogeneous parallel systems in many on-going and planned remote sensing missions.