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)
Wetlands are regarded as one of the most important ecosystems on Earth due to various ecosystem services provided by them such as habitats for biodiversity, water purification, sequestration, and flood attenuation. The Al Hawizeh wetland in the Iran-Iraq border was selected as a study area to evaluate the changes. Maximum likelihood classification was used(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)
In this paper, a research on the use of hyperspectral remote sensing techniques for detection and mapping of Ganoderma disease in oil palm is presented. Basal Stem Rot (BSR) diseases in oil palm are caused by the attack of a group of wood decaying fungi called Ganoderma. This fatal disease is considered as the most serious disease of oil palm in Malaysia(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)
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)
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)
Real Time Kinematic become a popular high precision technique in Malaysia. However, limitation of the distance for base station to rover station, this technique still difficult to implement. Virtual Reference Station (VRS) is a new concept developed by Trimble Terrasat is efficient method to overcome the limitation of classical RTK. The Malaysian Real-Time(More)