Helmi Zulhaidi Mohd Shafri

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Discrimination of tree species with different ages is performed in three classifications using hyperspec-tral data. The first classification is between Broadleaves and pines; the second classification is between Broadleaves, Corsican Pines, and Scots Pines, and the third classification is between six tree species including different ages of Corsican and(More)
—Density is an important parameter to determine the strength of road, and it will ensure the safety of the use as well as maintaining the quality of road pavement. In this paper, the validation of GPR mixture model based on the microwave nondestructive free space method to determine the density of road pavement typed Hot Mix Asphalt (HMA) will be presented.(More)
High spectral and spatial resolution hyperspectral data provides great potential to characterize intra-urban land cover classes at material level. In this study, AISA airborne hyperspectral image with 0.68m pixel size were used to classify 12 feature classes. In order to conduct the classification, Support Vector Machine (SVM) classifier was used in(More)
Various classification methods have been applied for low resolution of the entire Earth's surface from recorded satellite images, but insufficient study has determined which method, for which satellite data, is economically viable for tropical forest land use mapping. This study employed Iterative Self Organizing Data Analysis Techniques (ISODATA) and(More)
Although object-based image analysis (OBIA) has been used for detailed classification of urban areas, its attribute selection and knowledge discovery have been time consuming and subjective to analysts' performance. In this study, Data Mining was performed using C4.5 algorithm to select the appropriate attributes for object-based classification. This(More)
The process of land use change and urban sprawl has been considered as a prominent characteristic of urban development. This study aims to investigate urban growth process in Bandar Abbas city, Iran, focusing on urban sprawl and land use change during 1956-2012. To calculate urban sprawl and land use changes, aerial photos and satellite images are utilized(More)
SUMMARY Detailed and small scale mapping of urban surface materials is challenging and difficult; due to spectral and spatial heterogeneity of pervious and impervious surfaces. This paper investigates the comparative assessment of object-based classifications including fuzzy rule-based and supervised Support Vector Machine (SVM) to perform detailed(More)