Planning Coverage of Points of Interest via Multiple Imaging Surveillance Assets: A Multi-Modal Approach.

摘要

For the United States to maintain information superiority, it is necessary to have a means of allocating intelligence-gathering assets to collect information on particular points of interest. In today's geopolitical environment, however, the number of points of interest is growing rapidly, whereas the number of available assets is not. To aid in maintaining information superiority, this research explores the use of a Multi-Modal Goal Programming Resource Constrained Project Scheduling approach for allocating imaging surveillance assets (land, air, sea, and space) to a set of points of interest for a given time period. The multiple objectives of this formulation are to minimize the number of points of interest not covered at any time during the required period, minimize the deviation from the minimum image resolution of each point of interest, and minimize the time between successive imaging assets imaging each point of interest.