ABSTRACT
Conventional two-dimensional image data or three-dimensional gridded elevation data are organized on uniformly spaced grids. The gridding of data can result as a natural consequence of the organization of the data formation system or as a result of a gridding procedure. Data exploitation involves the process of actually using the data in a presentation or algorithmic manner. Unlike most conventional image data sets, Light Detection and Ranging (LiDAR) data generally provides a significant amount of sensor characteristics to the exploitation software. LiDAR-processing algorithms are at the point when any metadata regarding the state of the sensor during acquisition can be useful in the classification process. LiDAR data attributes should only be modified at points in the processing chain that specifically and reasonably deal with that attribute. Designing a data management scheme for LiDAR depends on the stage of the data and the application area.
