SHAPE INDEX COMPARISON BETWEEN OBJECT-BASED CLASSIFICATION AND VISUAL INTERPRETATION FOR LAND COVER/LAND USE MAPPING USING QUICKBIRD MULTISPECTRAL PAN-SHARPERNED IMAGERY

摘要

Object-based classification is a classification method that has begun to develop in remote sensing. This method not only developed a classification based on the value of the spectral information contained in each pixel on the satellite imagery, but also information arranged of a set of pixels that make up a specific the object. On high spatial resolution imagery, like Quickbird~© imagery, this method is expected to match the ability of visual interpretation, in which and visual interpretation method is still the most accurate method in providing information. One of the factors to be considered when using object-based classification is the shape of the object on the classification results. This research compares the shape of the object between the object-based classification and visual interpretation.