Ballistics Algorithm for Airborne Remote Sensor Position in Catastrophe Zones

The configuration of the camera and Field Of View (FOV) in a closed range photogrammetry are the most important parameters to obtain images of the field in quality. UAVs are central Wide Range photogrammetry tools, with cameras for large field items, for obtaining the optimal standard of photos by offering different usable algorithms of flight planning geographic location. This paper suggests an algorithm to find the exact Geo-Coordinates for the location detection of the UAV flight planning algorithm for the application of Closed Range Photogrammetry to the Battle field Susceptibility Zone analysis. Terrain Slope and Aspect have been considered in order to maintain the measured angle of view, field of vision, and land surface image quality. Identifying the pitch and aspect terrain (Azimuth) using the Digital Elevation Model (DEM) ISRO CartoSat Remote sensing info. In order to improve three-dimensional landscape pictures for 3d modelling, Battle Field Analysis, this algorithm should maximize the functionality of the numerous usable UAV airplane planners.