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Dive into the research topics where Norhadija Darwin is active.

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Featured researches published by Norhadija Darwin.


ieee international conference on control system, computing and engineering | 2013

Digital aerial imagery of unmanned aerial vehicle for various applications

Anuar Ahmad; Khairul Nizam Tahar; Wani Sofia Udin; Khairil Afendy Hashim; Norhadija Darwin; Mohd. Hafis; Mohd. Room; Nurul Farhah Adul Hamid; Noor Aniqah Mohd Azhar; Shahrul Mardhiah Azmi

Digital aerial imagery (DAI) can be acquired using digital mapping camera attached to light aircraft. The DAI is used for the production of topographic and thematic map. The cost of acquiring DAI is very expensive and suitable for large area coverage. The acquisition of DAI is not economical and suitable for small area coverage. Therefore an alternative method should be used to fulfill this need. There are two alternative methods that can be used for acquisition of DAI which include using a small format digital camera attached to light aircraft and using a small format attached to an unmanned aerial vehicle (UAV). UAV system has been reported used in various and diversified applications such as mapping applications (eg. map revision, landslide, coastal erosion, archaeology, forestry), industrial application (eg. engineering, crash accident), Geographic Information System (GIS) applications and others. In this study, micro unmanned aerial vehicle (UAV) systems which comprise of fixed wing UAV flying and rotary UAV are attached with small format high resolution digital camera to acquire DAI for the purpose of mapping at the flying height of 300m at 100m respectively. The micro UAVs were flown autonomously (i.e automatically) and a series of DAIs of a slope using fixed wing UAV and a stream using rotary UAV were acquired rapidly within short period. Ground control point (GCP) and check point (CP) were established using the Global Positioning System and conventional Total Station techniques around the study area for the slope and stream respectively for the purpose of digital image processing and accuracy assessment. The DAIs were processed to produce photogrammetric output such as digital elevation model (DEM) and orthophoto. All these photogrammetric products were successfully produced and assessed. The achievable accuracy is less than ±1m for slope mapping and ±0.280m for stream mapping. In this study, it is proven that the micro UAV system can be used for mapping which cover small area. As conclusion, micro UAV is suitable for mapping small area, rapid data acquisition, accurate, low cost and can be employed for various applications.


IOP Conference Series: Earth and Environmental Science | 2014

The potential of unmanned aerial vehicle for large scale mapping of coastal area

Norhadija Darwin; Anuar Ahmad; Othman Zainon

Many countries in the tropical region are covered with cloud for most of the time, hence, it is difficult to get clear images especially from high resolution satellite imagery. Aerial photogrammetry can be used but most of the time the cloud problem still exists. Today, this problem could be solved using a system known as unmanned aerial vehicle (UAV) where the aerial images can be acquired at low altitude and the system can fly under the cloud. The UAV system could be used in various applications including mapping coastal area. The UAV system is equipped with an autopilot system and automatic method known as autonomous flying that can be utilized for data acquisition. To achieve high resolution imagery, a compact digital camera of high resolution was used to acquire the aerial images at an altitude. In this study, the UAV system was employed to acquire aerial images of a coastal simulation model at low altitude. From the aerial images, photogrammetric image processing was executed to produce photogrammetric outputs such a digital elevation model (DEM), contour line and orthophoto. In this study, ground control point (GCP) and check point (CP) were established using conventional ground surveying method (i.e total station). The GCP is used for exterior orientation in photogrammetric processes and CP for accuracy assessment based on Root Mean Square Error (RMSE). From this study, it was found that the UAV system can be used for large scale mapping of coastal simulation model with accuracy at millimeter level. It is anticipated that the same system could be used for large scale mapping of real coastal area and produces good accuracy. Finally, the UAV system has great potential to be used for various applications that require accurate results or products at limited time and less man power.


Jurnal Teknologi | 2014

The potential of low altitude aerial data for large scale mapping

Norhadija Darwin; Anuar Ahmad; Wan Abdul Aziz Wan Mohd Akib


Jurnal Teknologi | 2014

Assessment of photogrammetric micro fixed-wing unmanned aerial vehicle (UAV) system for image acquisition of coastal area

Norhadija Darwin; Anuar Ahmad; Zulkarnaini Mat Amin; Othman Zainon


Archive | 2015

Coastal mapping using unmanned aerial vehicle (uav) system: case study Crystal Bay, Alai Melaka

Anuar Ahmad; Zulkarnaini Mat Amin; Othman Zainon; Norhadija Darwin


Archive | 2015

Terrain analysis using unmanned aerial vehicle platform images

Alvin Meng Shin Lau; Abd. Razak Mohd. Yusoff; Muhammad Zulkarnain Abdul Rahman; Abd Wahid Rasib; Wan Hazli Wan Kadir; Mohd Yazid Abu Sari; Norhadija Darwin; Muhammad Afiq Aziz


Archive | 2015

Coastal mapping using Unmanned Aerial Vehicle (UAV) system: case study Cyrstal Bay, Alai Melaka / Norhadija Darwin ... [et al.]

Norhadija Darwin; Anuar Ahmad; Othman Zainon; Zulkarnaini Mat Amin


Jurnal Teknologi | 2015

OIL PALM TREE GROWTH MONITORING FOR SMALLHOLDERS BY USING UNMANNED AERIAL VEHICLE

Astina Tugi; Abd Wahid Rasib; Muhammad Akmal Suri; Othman Zainon; Abdul Razak Mohd Yusoff; Mohammad Zulkarnain Abdul Rahman; Nasruddin Abu Sari; Norhadija Darwin


Archive | 2014

Capabilities of low cost and fast image acquisition using micro fixed-wing unmanned aerial vehicle system

Norhadija Darwin; Anuar Ahmad; Zulkarnaini Mat Amin; Othman Zainon


International Journal of Informatics and Communication Technology | 2014

Fast Data Acquisition of Aerial Images Using Unmanned Aerial Vehicle System

Norhadija Darwin; Anuar Ahmad

Collaboration


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Othman Zainon

Universiti Teknologi Malaysia

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Anuar Ahmad

University of Selangor

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Zulkarnaini Mat Amin

Universiti Teknologi Malaysia

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Abd Wahid Rasib

Universiti Teknologi Malaysia

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Wani Sofia Udin

Universiti Malaysia Kelantan

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Alvin Meng Shin Lau

Universiti Teknologi Malaysia

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Astina Tugi

Universiti Teknologi Malaysia

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