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10 results for “Helmi Z.M. Shafri”

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Research ArticleOpen accessIn the author namesDEVELOPMENT OF OBSTACLE AVOIDANCE TECHNIQUE IN WEB-BASED GEOGRAPHIC INFORMATION SYSTEM FOR TRAFFIC MANAGEMENT USING OPEN SOURCE SOFTWARENik Mohd Ramli Nik Yusoff, Helmi Zulhaidi Mohd Shafri, Ratnasamy Muniandy, Islam Mohammad WaliThe shortest path routing is one of the well-known network analysis techniques implemented in road management systems. Pg Routing as an extension of Postgre SQL/Post GIS database is an open source library that implements the Dijkstra shortest path algorithm. However, the functionality to avoid obstacles in that analysis is still limited. Therefore, this study was conducted to enable obstacle avoidance … …Journal of Computer Science, Vol. 10, Issue 7 · 16 Jun 2014 · 6,933 accessesView PDFCite
Research ArticleOpen accessIn the author namesImaging Spectroscopy and Light Detection and Ranging Data Fusion for Urban Features ExtractionMohammed Idrees, Helmi Zulhaidi Mohd Shafri, Vahideh SaeidiThis study presents our findings on the fusion of Imaging Spectroscopy (IS) and LiDAR data for urban feature extraction. We carried out necessary preprocessing of the hyperspectral image. Minimum Noise Fraction (MNF) transforms was used for ordering hyperspectral bands according to their noise. Thereafter, we employed Optimum Index Factor (OIF) to statistically select the three most appropriate bands combination from … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 28 Oct 2013 · 7,161 accessesView PDFCite
Research ArticleOpen accessIn the author namesQuantitative Performance of Spectral Indices in Large Scale Plant Health AnalysisHelmi Zulhaidi Mohd Shafri, Mohanad Saad EzzatProblem statement: Oil palm trees are planted in large scale areas. The detection and mapping of diseases are considered as important for oil palm industry and need a timely detection to control the disease spread. Approach: Vegetation analysis of airborne hyperspectral imagery could be an ideal method to deal with this problem since this data could be acquired on user … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 3 · 30 Sep 2009 · 8,226 accessesView PDFCite
Research ArticleOpen accessIn the author namesHyperspectral Imagery for Mapping Disease Infection in Oil Palm Plantation Using Vegetation Indices and Red Edge TechniquesHelmi Zulhaidi Mohd Shafri, Nasrulhapiza HamdanProblem statement: Large scale plantation of oil palm trees requires on-time detection of diseases as the ganoderma basal stem rot disease was present in more than 50% of the oil palm plantations in Peninsular Malaysia. Approach: To deal with this problem, airborne hyperspectral imagery offers a better solution in order to detect and map the oil palm trees that were … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 10,515 accessesView PDFCite
Research ArticleOpen accessIn the author namesMass Structure Deformation Monitoring using Low Cost Differential Global Positioning System DeviceRamin S. Azar, Helmi Z.M. ShafriIn this study, a technique for monitoring bridge deformation with the simplest GPS device available was demonstrated. The accuracy of these observations was evaluated and the best approach for this purpose was suggested. The device used was the low cost GS20 Leica single frequency GPS, which is a basic GPS receiver for this study. This study was done during March, … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 8,804 accessesView PDFCite
Research ArticleOpen accessIn the author namesThe Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image AnalysisHelmi Zulhaidi Mohd Shafri, Affendi Suhaili, Shattri MansorSeveral classification algorithms for pattern recognition had been tested in the mapping of tropical forest cover using airborne hyperspectral data. Results from the use of Maximum Likelihood (ML), Spectral Angle Mapper (SAM), Artificial Neural Network (ANN) and Decision Tree (DT) classifiers were compared and evaluated. It was found that ML performed the best followed by ANN, DT and SAM with … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 142,423 accessesView PDFCite
Research ArticleOpen accessIn the author namesHyperspectral Remote Sensing of Vegetation Using Red Edge Position TechniquesHelmi Zulhaidi Mohd Shafri, Mohamad Amran Mohd Salleh, Azadeh GhiyamatTwo red edge position (REP) techniques, Linear and Lagrangian, were applied on hyperspectral data acquired from the HyMap sensor for a forested area in Thetford Forest, UK. Red edge positions of different vegetation covers were extracted with the two approaches from the hyperspectral data. Based on the estimated REPs, the Linear and Lagrangian interpolation methods were compared with ground reference … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 17 Jun 2006 · 8,111 accessesView PDFCite
Research ArticleOpen accessIn the author namesWavelet Shrinkage in Noise Removal of Hyperspectral Remote Sensing DataHelmi Z.M. Shafri, Paul M. MatherIt is common in hyperspectral remote sensing studies to perform analysis based on derivative spectroscopy. However, this technique is particularly sensitive to noise in the data. Thus, noise removal is essential before any derivative analysis. Various methods of noise removal are described in the literature. A newly developed method based on the wavelet transform appears promising, though there is little … …American Journal of Applied Sciences, Vol. 2, Issue 7 · 31 Jul 2005 · 7,017 accessesView PDFCite