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39 results for “Satellite Images”
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Research ArticleOpen accessPhrase in the titleHigh Resolution Satellite Images to Reconstruct Recent Evolution of Domitian CoastlinePasquale Maglione, Claudio Parente, Andrea VallarioIn the last decades, combinations of natural and humanfactors have resulted in extensive morphological changes to our coastlines andin many cases have amplified erosion. In order to limit these changes and theirimpact on coastal zone, it is important toplan specific actions; for this purpose detailed cognizance of coastal zone isnecessary. Different and heterogeneous data such as historical and recent maps,remotely … …American Journal of Applied Sciences, Vol. 12, Issue 7 · 28 Aug 2015 · 7,015 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleActive Fire Monitoring with Level 1.5 MSG Satellite ImagesAbdelatif Hassini, Farid Benabdelouahed, Noureddine Benabadji, Ahmed Hafid BelbachirThe first of the new generation of Meteosat satellites, known as Meteosat Second Generation (MSG-1), was launched in August 2002. As with the current Meteosat series, MSG is spin-stabilized and capable of greatly enhanced Earth observations. The satellite’s 12-channel imager, known formally as the Spinning Enhanced Visible and Infrared Imager (SEVIRI), observes the full disk of the Earth with an … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 8,132 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleSensing the Hydrogeomorphology and Palaeohydrologic Features of Mars Planet with Inference from the Egyptian Desert: An Insight from Satellite ImagesMohamed YousifThe water access in any planet of the universe can be considered a crucial evidence for life existence. The study of Mars has special importance where it has a complex preserved geological record of a time period longer than on Earth. Many regions of Mars planet are subjected to observations through the obtained satellite images in comparison to similar areas … …Space Science International, Vol. 4, Issue 1 · 27 Apr 2020 · 13,203 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleNeural Network Change Detection Model for Satellite Images Using Textural and Spectral CharacteristicsA. K. Helmy, Gh. S. El-TaweelProblem statement: Change detection is the process of identifying difference of the state of an object or phenomena by observing it at different time. Essentially, it involves the ability to quantify temporal effects using multi-temporal data sets. Information about change is necessary for evaluating land cover and the management of natural resources. Approach: A neural network model based on both … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 4 Nov 2010 · 8,162 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleChange Detection Using Neural Network with Improvement Factor in Satellite ImagesM. A. Fkirin, S. M. Badwai, Sayed A. MohamedProblem statement: The aim of this study is to investigate the applicability of using the neural network techniques in change detection of remotely sensed data. Approach: In addition, the tuning parameters of the network, such as encoding the output classes, adding the momentum term and learning rate, are investigated in order to achieve best network performance. Results: Neural network-based change … …American Journal of Environmental Sciences, Vol. 5, Issue 6 · 31 Dec 2009 · 6,650 accessesView PDFCite
Review ArticleOpen accessPhrase in the titleAssessment of Dust Event By RS, GIS, MODIS and Statistical Methods Among Satellite ImagesKaveh Ostad-Ali-Askari, Naimeh Rahimi, Parisa Ashrafi et al.Dust is an event that occurs in most sections of the world that leads to financial loss and harmful environmental impacts. Several factors are included in dust event incidence, some of them are natural and others are due to human processes and their impact on the environment. Thus, very critical situations are coming and it is expected that the majority … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 25 Jun 2021 · 6,704 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Hybrid Model of Bidirectional Long-Short Term Memory and CNN for Multivariate Time Series Classification of Remote Sensing DataSawsan Morkos GharghoryClassification of multivariate time series has got massive attention in the last decade. The traditional modeling classifiers are complicated patterns and are incompetent to capture the dependencies of multivariate time series data. To include both of the effective features and the embedded relationships in the multivariate time series, a new hybrid model which incorporates both Convolutional Neural Network (CNN) and … …Journal of Computer Science, Vol. 17, Issue 9 · 29 Sep 2021 · 6,693 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCharacterization of the Earth's Surface State by Unsupervised Classification: Case of Vegetated, Aquatic and Mineral SurfacesJean-Claude Okaingni, Sié Ouattara, Adles Kouassi, Alain ClémentIn this study, we propose an unsupervised classification scheme based on the Dempster-Shafer Theory (TDS) and the Dezert-Smarandache Theory (DSmT) to characterize vegetated, aquatic and mineral surfaces. From pre-processed ASTER satellite images (georeferencing, geometric correction and 15 m re-sampling), neo-channels were produced by determining the spectral indices NDVI, MNDWI and NDBaI, considered as sources of information for classification of a … …American Journal of Applied Sciences, Vol. 15, Issue 7 · 27 Aug 2018 · 8,183 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparison of Classification Techniques on Fused Optical and SAR Images for Shoreline Extraction: A Case Study at Northeast Coast of Peninsular MalaysiaSyaifulnizam Abd Manaf, Norwati Mustapha, Md Nasir Sulaiman et al.Shoreline is a very important element to identify exact boundary at the coastal areas of a country. However, in order to identify land-water boundary for a large region using traditional ground survey technique is very time consuming. Alternatively, shoreline can be extracted by using satellite images that minimizes the mapping errors. The trend of extracting shoreline has been shifted from … …Journal of Computer Science, Vol. 12, Issue 8 · 27 Oct 2016 · 7,713 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRelational GIS and Remote Sensing Database System for Al-Salt Area, JordanEyad H.R. Fadda, Maher Kakish, Emad Jalal AkawwiDue to the importance of database systems, integration between two Geomatics sciences, GIS and Remote Sensing has been made in order to support and serve various sectors in Jordan. GIS has been used to create layers that can show decision makers in a simple, easy and flexible manner. Remote Sensing will be used in creating images of how Jordan is … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2008 · 6,957 accessesView PDFCite