Actas de congresos
UNSUPERVISED LAND-COVER CLASSIFICATION THROUGH HYPER-HEURISTIC-BASED HARMONY SEARCH
Fecha
2015-01-01Registro en:
2015 Ieee International Geoscience And Remote Sensing Symposium (igarss). New York: Ieee, p. 69-72, 2015.
2153-6996
WOS:000371696700018
Autor
Universidade Estadual Paulista (Unesp)
Sao Paulo State Southwest Coll
Univ Western Sao Paulo
Institución
Resumen
Unsupervised land-cover classification aims at learning intrinsic properties of spectral and spatial features for the task of area coverage in urban and rural areas. In this paper, we propose to model the problem of optimizing the well-known k means algorithm by combining different variations of the Harmony Search technique using Genetic Programming (GP). We have shown GP can improve the recognition rates when using one optimization technique only, but it still deserves a deeper study when we have a very good individual technique to be combined.