Groves decipherment from space photos using prototype matching
Common groves consist of single trees, forests and glades. Their decipherment involves three main components: trees and forests detection with recognition of their textures, contour segmentation and reconstruction of forest stand parameters. They can both be simple parameters such as tree height, crown closure etc. or complex parameters such as species components. It is shown that using textural prototype matching can solve all three tasks. The experiments show relatively high reliability of the proposed technique: 6570% for special components reconstruction and 7782% for direct forest stand parameters.
aerial and space photos decipherment forest stand parameter reconstruction bayesian prototype matching