Search Results - optical ((((((cloud algorithm) OR (graph algorithm))) OR (tree algorithm))) OR (_ algorithm))
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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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A GreedyZero algorithm to minimise the conflicts in an Optical Multistage Interconnection Network
Published 2014“…In this paper, we have proposed a new algorithm to minimise the number of conflicts of OMINs using the greedy graph colouring and Zero algorithm. …”
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Accounting Information Systems Genetic Algorithms for All-Optical Shared Fiber-Delay-Line Packet Switches
Published 2009“…In the first algorithm, packet scheduling is formulated as a tree-searching problem. …”
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Identification of power poles based on satellite stereo images using graph-cut algorithm
Published 2023“…Algorithms; Graphic methods; Image matching; Image processing; Optical radar; Poles; Satellite imagery; Satellites; Signal detection; Signal processing; Vegetation; Damage compensations; Electrical distribution; Graph cut; High voltage transmission lines; Monitoring methods; Stereo matching; Stereo matching algorithm; Stereo-image; Stereo image processing…”
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A Fast Scheduling Algorithm for WDM Optical Networks
Published 2000“…The algorithm employs a theory in graph, known as edge colouring of bipartite multigraph to produce the transmission schedule, which is free from collision due to the nature of the edge colouring. …”
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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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Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines
Published 2018“…This paper presents a cost-effective approach based on a convolutional neural network (CNN) algorithm to compute the height (depth maps) of objects proximal to power poles and transmission lines. …”
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Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines
Published 2018“…This paper presents a cost-effective approach based on a convolutional neural network (CNN) algorithm to compute the height (depth maps) of objects proximal to power poles and transmission lines. …”
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Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…The locations of landslides were detected accurately by employing two Machine learning classifiers, namely, SVM and RF, decision rule and hierarchal rules sets were developed by applying decision tree (DT) algorithm to provide improved landslide inventory. …”
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Comparative analysis on the deployment of machine learning algorithms in the distributed brillouin optical time domain analysis (BOTDA) fiber sensor
Published 2023“…The algorithms analyzed were generalized linear model (GLM), deep learning (DL), random forest (RF), gradient boosted trees (GBT), and support vector machine (SVM). …”
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Assessing Bat Roosts Using the LiDAR System at Wind Cave Nature Reserve in Sarawak, Malaysian Borneo
Published 2017“…Bats that roost in large clusters, specifically Penthetor lucasi were determined through automated counting using connected components labelling, a graph theory algorithm mostly used in image analysis applications. …”
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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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Distortion-free embedding in the optic disk of retina fundus images using complex-valued neural network
Published 2011“…The performance of the proposed technique has been evaluated using ROC graphs and Image Fidelity Measure (IFM). Results obtained indicate that the proposed algorithm can perfectly embed watermark in the host image without any distortion or loss of information which make both host and the watermarked image perceptually indistinguishable. …”
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Seeing trees from space: above-ground biomass estimates of intact and degraded montane rainforests from high-resolution optical imagery
Published 2017“…To this purpose, preprocessed IKONOS imagery was segmented using a watershed algorithm; stem diameter values were then estimated from the cross-sectional crown areas of these trees using regression relationships obtained from ground-based measurements. …”
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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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