Search Results - optical ((crops algorithm) OR (((cloud algorithm) OR (cpdod algorithm))))
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Near-sea-level langley calibration algorithm
Published 2014“…The key advantages of the proposed algorithm are its objectivity, computational efficiency and the ability to detect short intervals of cloud transits. …”
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Chapter In Book -
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Retrieval Of Environmental Parameters Over Water Areas Using MODIS Data
Published 2012“…In this study, new and simple algorithms to retrieve cirrus cloud, sediment and aerosol optical depth (AOD) from Moderate Resolution Radiospectrometer (MODIS) imagery is suggested and demonstrated. …”
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Thesis -
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Feature Extraction and Matching from images / lntan Syaherra Ramli
Published 2023“…Next, the feature points from two images are matched using Optical Flow Lucas Kanade. The corresponding feature points are used to find the 30 point cloud for computer graphic application. …”
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Monograph -
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The analysis of tropospheric aerosol concentration and distribution using NOAA AVHRR
Published 2005“…The results suggests that the application of DTA algorithm on NOAA AVHRR imagery whenever available and cloud free could be used as an indicator to air quality assessment for this region.…”
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Development of an automated multidirectional pest sampling detection system using motorized sticky traps
Published 2021“…A square-shaped sticky box was designed, and an optical sensor was attached to a scalable arm. The movements of the sticky box and the camera arm were generated by motors. …”
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A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT-2 imagery for land-use and land-cover mapping in a tropical area
Published 2016“…Producing accurate land-use and land-cover (LULC) mapping is a long-standing challenge using solely optical remote-sensing data, especially in tropical regions due to the presence of clouds. …”
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Development of personal finance mobile application with Optical Character Recognition (OCR) technology for automated receipt management and expense tracking
Published 2023“…OCR is the short form for Optical Character Recognition. It is a technology that was powered by Machine Learning algorithms like Convolutional Neural Networks (CNN) whereby it allows extraction of text from images or documents in a blink of eye. …”
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Final Year Project / Dissertation / Thesis -
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Depth value approximation of 2D complex-shape objects for 3D modelling using optical flow and trigonometry
Published 2015“…This research introduces an IBM technique using optical flow and trigonometry with images captured via webcams. …”
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Artificial Intelligence in accounting / Akma Hidayu Dol @ Abdul Wahid and Rafizan Abdul Razak
Published 2025“…One example of accounting software that incorporates AI-driven features to enhance financial accounting and management is QNE AI Cloud Accounting. QNE AI Cloud Accounting is the newest product from QNE Software, designed for small and medium businesses and startups. …”
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The Parallel Fuzzy C-Median Clustering Algorithm Using Spark for the Big Data
Published 2024“…A comparative study is done to validate the proposed algorithm by implementing the other contemporary algorithms for the same dataset. …”
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A vision-based deep learning approach for non-contact vibration measurement using (2+1)D CNN and optical flow
Published 2025“…A curated dataset was generated using a controlled experimental setup comprising a single object in a lab-scale environment, augmented synthetically to enhance frequency diversity. An optical flow-based preprocessing algorithm synchronized motion features in recorded video inputs with measured vibration labels, improving measurement accuracy. …”
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Assessing Bat Roosts Using the LiDAR System at Wind Cave Nature Reserve in Sarawak, Malaysian Borneo
Published 2017“…Introduction of the Light Detection and Ranging (LiDAR) scanning system, an optical remote sensing technology, for scientific purposes have open many research possibilities especially on cave wildlife surveys. …”
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Estimating Forest Aboveground Biomass Density Using Remote Sensing and Machine Learning : A RSME Approach
Published 2025“…Integrated with the random forest algorithm in the Google Earth Engine for AGB density modeling at a spatial resolution of 1 km, the methodology incorporates GEDI Level 4, Sentinel-1 radar, Sentinel-2 optical imagery, and elevation/slope maps. …”
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Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…The overall accuracy of the Support Vector Machine SVM and Random Forest RF classifiers revealed that three of the six algorithms exhibited higher ranks in the landslide detection. …”
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Thesis -
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Simultaneous measurement of multiple soil properties through proximal sensor data fusion: a case study
Published 2019“…This has capability of providing improved understanding of soil heterogeneity for potential applications associated with crop production and natural resource management. …”
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Surface and Near-surface Moisture Content Assessment using Multi-Temporal Satellite Images over Perak Tengah and Manjung Regions, Malaysia
Published 2013“…On the regional scale, the importance of soil moisture appears in agricultural assessment (crops yield management, irrigation management, etc.), flood and draught control. …”
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