Análisis bayesiano y fusión de datos para la clasificación de escenas urbanas del Distrito Federal

Abstract

IN CITIES LIKE MEXICO, D.F., THERE EXISTS INCREASING ADMINISTRATION DIFFICULTIES, ORIGINATED BY THE LACK OF INFORMATION ON THE URBAN STRUCTURES AND THE DYNAMISM OF THEIR EVOLUTION; THEREFORE, THE ACQUISITION OF AERIAL HIGH RESOLUTION PHOTOGRAPHS OF URBAN REGIONS, CAN FACILITATE TASKS IN THE UP DATE OF CARTOGRAPHY AND URBAN PLANNING THROUGH THE SE MENTATION AND AUTOMATIC EXTRACTION OF INTEREST REGIONS. IN THIS ARTICLE, WE PRESENT A METHOD TO SEGMENT AND CLASSIFY AERIAL PHOTOGRAPHS OF MEXICO CITY. IN ORDER TO OBTAINIT, FIRST ARE - DUCTION IN THE GRAY LEVELS OF THE ORIGINAL IMAGE IS MADE. LATER ITS MATRIX OF CO-OCCURRENCE IS CALCULATED AND FROM THIS TEN TEXTURAL FEATURES ARE OBTAINED. THE TEXTURAL FEATURES THAT PROVIDE THE SUFFICIENT INFORMATION