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Paddy field classification with MODIS-terra multi-temporal image transformation using phenological approach in Java Island
2019
International Journal of Electrical and Computer Engineering (IJECE)
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The paddy field classification method based on the phenological model is done by Maximum Likelihood on the transformed annual multi-temporal image of the reflectance data, index data, and the combination ...
of reflectance and index data. ...
ACKNOWLEDGEMENTS We are grateful to Remote Sensing Technology and Data Centre, National Institute of Aeronautics and Space (Pustekdata, LAPAN) for supports, providing the data and image processing facilities ...
doi:10.11591/ijece.v9i2.pp1346-1358
fatcat:gynhok7qrvdgpgwxuhgj7i7cga
Dynamic similarity search in multi-metric spaces
2006
Proceedings of the 8th ACM international workshop on Multimedia information retrieval - MIR '06
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This paper presents the Multi-Metric M-tree (M 3 -tree), a metric access method that supports similarity queries with dynamic combinations of metric functions. ...
an extension of the Mtree, stores partial distances to better estimate the weighed distances between routing/ground entries and each query, where a single distance function is used to build the whole index ...
Paper Contributions This paper presents the Multi-Metric M-tree (M 3 -tree), a dynamic index structure that extends the M-tree [8] to support multi-metric similarity queries. ...
doi:10.1145/1178677.1178698
dblp:conf/mir/BustosS06
fatcat:wxxf6qulhze3bhaewp5fhz2prm
Prediction and Selection of Appropriate Landscape Metrics and Optimal Scale Ranges Based on Multi-Scale Interaction Analysis
2021
Land
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Using a big data method, the multivariate adaptive regression splines model (MARS), and the partial dependence model (PHP), we studied the scaling relationships of metrics to changing scales. ...
The results show that multi-scale interaction commonly exists in most landscape metric scaling responses, making a significant contribution. ...
We thank the Resource and Environment Science and Data Center, Chinese Academy of Sciences (RESDC) for providing the LUCC dataset. ...
doi:10.3390/land10111192
fatcat:uzvh5ocigjfoho5zfk3mmxqltq
Adapting metric indexes for searching in multi-metric spaces
2011
Multimedia tools and applications
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This paper presents a methodology for adapting metric indexes to multi-metric indexes, that is, to support similarity queries with dynamic combinations of metric functions. ...
A recent approach that has been shown to improve the effectiveness of similarity search in multimedia databases resorts to the usage of combinations of metrics (i.e., a search on a multi-metric space). ...
We showed how the methodology can be applied to two different metric indexes, yielding two novel indexing methods for multi-metric spaces, and how previously proposed multi-metric indexes fit into this ...
doi:10.1007/s11042-011-0731-3
fatcat:gidxfu36rfhztnggjiooqeujhm
Hybrid Topic Cluster Models for Social Healthcare Data
2019
International Journal of Advanced Computer Science and Applications
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The traditional topic models, such as Latent Semantic Indexing (LSI), Probabilistic Latent Schematic Indexing (PLSI), Latent Dirichlet Allocation (LDA), Non-negative Matrix Factorization (NMF), and integer ...
This paper uses health tweets as microblogs and attempts the health data clustering by topic models. ...
Euclidean Metric
TREC2015 Four Keyword Phrases
Multi-viewpoint Cosine Metric
Cosine Metric
Euclidean Metric
5-topics health tweets datasets
Multi-viewpoint Cosine Metric
Cosine Metric
Euclidean ...
doi:10.14569/ijacsa.2019.0101168
fatcat:7i3ounx2pvhipevjjzmui6o5oe
Challenges in Finding an Appropriate Multi-Dimensional Index Structure with Respect to Specific Use Cases
2012
Workshop Grundlagen von Datenbanken
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In recent years, index structures for managing multi-dimensional data became increasingly important. ...
However, dimensionality of data is just one component that have to be considered. ...
on metric data. ...
dblp:conf/gvd/GrebhahnBSSKS12
fatcat:63r2zvpwfrf3lb26akyi3ru7ga
Road-Based Multi-Metric Forwarder Evaluation for Multipath Video Streaming in Urban Vehicular Communication
2020
Electronics
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The performance of the scheme is evaluated using Peak Signal to Noise Ratio (PSNR), Structural SIMilarity index (SSIM), Packet Loss Ratio (PLR) and End-to-End Delay (E2ED) metrics. ...
In order to address the aforementioned issues, a Road-based Multi-metric Forwarder Evaluation scheme for Multipath Video Streaming (RMF-MVS) has been proposed. ...
Further, a similar multi-metric map-aware routing protocol, which is based on multi-multimedia data for vehicular communication has been proposed. ...
doi:10.3390/electronics9101663
fatcat:264f44sqdnc6zc546upm44sryi
A routing protocol with integrated routing metric for multi-channel wireless sensor networks
2012
7th International Conference on Communications and Networking in China
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In this paper we propose a routing protocol with integrated routing metric for multi-channel wireless sensor networks. ...
The simulation results show that, we can increase the network lifetime using the integrated routing metric. ...
With the lower cost of wireless RF transceiver hardware, multi-radio becomes acceptable. In multi-radio situations, nodes can send and receive data in parallel in different channel. ...
doi:10.1109/chinacom.2012.6417528
dblp:conf/chinacom/YangYT12
fatcat:wnzwhfe24bfqvgabh6ayk2soc4
A comparative study of color image compression standards using perceptually driven quality metrics
2008
Applications of Digital Image Processing XXXI
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JPEG, JPEG 2000, and JPEG XR compression, by using different objective Full Reference metrics and considering also perceptual quality metrics which take into account the color information of the data under ...
the performance of the different state-of-the-art metrics often make the results obtained using objective metrics not very reliable. ...
Multi-channel metric: Weighted MSSIM The Mean Structural Similarity index described in Subsection 2.2 can be applied in multi-channel scenario as follow: 3 3 2 2 1 1 MSSIM w MSSIM w MSSIM w WMSSIM + + ...
doi:10.1117/12.797795
fatcat:blsyyey4sbhyte2zk77iek5fs4
New Object Level Strategy for Image Fusion Quality Assessment of High Resolution Satellite Imagery
2011
Photogrammetrie - Fernerkundung - Geoinformation
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Lots of quality evaluation metrics have been proposed for quality assessment of fused images. ...
Image fusion techniques produce new images which inherent the merits of initial panchromatic and multi spectral images. ...
But, since multi modal metrics treat the image as 3D data vector and compare the fused image only with the reference multi spectral image, SAM index results are restricted to only one layer. ...
doi:10.1127/1432-8364/2011/0077
fatcat:v32aigyqbbagpmz7ydvasy4ylq
A method for selecting health index metrics in the absence of independent measures of ecological condition
2012
Ecological Indicators
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26 We describe a novel, weight of evidence-based approach for selecting fish community 27 metrics to assess estuarine health, and its application in selecting metrics for a multi-metric 28 health index ...
These metric sets are 41 currently being used to construct a multi-metric health index for the Swan Estuary, which 42 is the first such tool to be developed for assessing the health of estuaries in Australia ...
Efficacy of a multi-metric fish index 527 as an analysis tool for the transitional fish component of the Water Framework Directive. 528 Mar. Poll. ...
doi:10.1016/j.ecolind.2011.07.002
fatcat:5z2im2x2xve55ji3l6zm4x5xoe
Twitter Data Clustering on issues of Children with Special Needs using Hybrid Topic Models with Multi-viewpoints Similarity Metric
2020
International Journal of Early Childhood Special Education
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Visual Non-Matrix Factorization (VIS NMF) under multi-viewpoints similarity metric performed well than other models with a more informative assessment. ...
In this paper, hybrid topic models with multi-viewpoints based similarity metric proposed to Visualize topic clouds, to find cluster tendency of various topics related to issues of children with special ...
External indexes (required prior data) are used to determine given clustering structure, whereas internal indexes (not required prior data) are used to fit between data and expected structure. ...
doi:10.9756/int-jecse/v12i1.201003
fatcat:tvzv7qr4obef7bi6z3sj4ed4fa
Structural Similarity Based Efficient Multi-View Video Coding
2014
IOSR Journal of Engineering
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Efficient compression of multi-view images and video is crucial for 3DV application. The major task of three-dimensional video (3DV) coding is to provide high quality depth data. ...
The full reference quality metric SSIM is used to exploit the structural information from different views in multi-view video coding. ...
The resulting data are often referred to as multi-view video [5] . ...
doi:10.9790/3021-04552327
fatcat:pthzkubx6rcx7o25g42jepie24
A new fish-based multi-metric assessment index for cyprinid streams in the Iranian Caspian Sea Basin
2015
Limnologica
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The overall aim of this study is to develop a multi-metric fish index for the cyprinid streams of the Caspian Sea Basin (MMICS) in Iran. ...
The multi-metric fish index performed well in discriminating human pressure classes, giving a significant negative linear response to a gradient of the RPI. ...
Acknowledgements Part of this work was funded by the Austrian Science Fund (FWF, Predictive Index of Biotic Integrity for running waters of Iran, contract number P 23650-B17). ...
doi:10.1016/j.limno.2014.10.006
pmid:25960581
pmcid:PMC4418740
fatcat:vgnpbrpoovbuflhplrd4z3vmdi
Effect of thematic map misclassification on landscape multi-metric assessment
2015
Environmental Monitoring & Assessment
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site; (3) collectively, when the metrics were combined into a multi-metric index, the effects were attenuated; and (4) the index bias indicated that our naive assessment model may overestimate floodplain ...
Here, we examined the sensitivity of a landscape-scale multi-metric index (MMI) to error from thematic land-cover misclassification and the implications of this uncertainty for resource management decisions ...
EPA for his assistance with the NLCD data and to Dr. Guofeng Cao of Texas Tech University for his assistance on error simulation models. Also, we would like to thank Dr. ...
doi:10.1007/s10661-015-4546-y
pmid:25939644
pmcid:PMC4419156
fatcat:ycu2yiucqjgchbxqwm26dpqsna
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