1 / 9

A New Algorithm for Inferring User Search Goals

Information Surfing is one of the vital phenomenon in today’s world. Users prefer to surf internet by their queries to clarify their known uncertain information. Search engines does not often bring the user required information and does not fulfill the request completely. Hence it is necessary to infer and mine user specific interest about a topic. http://kaashivinfotech.com/ http://inplanttrainingchennai.com/ http://inplanttraining-in-chennai.com/ http://internshipinchennai.in/ http://inplant-training.org/ http://kernelmind.com/ http://inplanttraining-in-chennai.com/ http://inplanttrainingchennai.com/

kaashivit
Download Presentation

A New Algorithm for Inferring User Search Goals

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Comparative representational process for landscape prediction based Framework IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 52, NO. 11, NOVEMBER 2014, Operational Data Fusion Framework for Building Frequent Land sat-Like Imagery

  2. A Software /Manufacturing Research Company Run By Microsoft Most Valuable Professional VenkatesanPrabu .J MANAGING DIRECTOR Microsoft Web Developer Advisory Council team member and a well known Microsoft Most Valuable Professional (MVP) for the year 2008, 2009, 2010,2011,2012,2013 ,2014. LakshmiNarayanan.J GENERAL MANAGER BlackBerry Server Admin. Oracle 10g SQL Expert. Arunachalam.J Electronic Architect Human Resourse Manager

  3. Abstract • An operational data fusion framework was built to generate dense time-series Landsat-like images by fusing MODIS data products and Landsat imagery. • The spatial and temporal adaptive reflectance fusion model (STARFM) was integrated in the framework. Compared with earlier implementations of the STARFM, several improvements have been incorporated in the operational data fusion framework. • These include viewing an- gular correction on the MODIS daily bidirectional reflectance, precise and automated coregistration on MODIS and Landsat paired images, and automatic selection of Landsat and MODIS paired dates. Three tests that use MODIS and Landsat data pairs from the same season of the same year, the same season of two different years, and different seasons from adjacent years were performed over a Landsat scene in northern India using the integrated STARFM operational framework. • The results show that the accuracy of the predicted results depends on the data consistency between the MODIS nadir bidirectional-reflectance- distribution-function-adjusted reflectance and Landsat surface reflectance on both the paired dates and the prediction dates.

  4. Existing System • In the existing system the Landsat images was generally used to monitor crop condition , yield estimates, forest fire detection, land cover change mapping analysis alone. • Medium resolution sensors were used in the existing approach which have an ideal spatial resolution for vegetation mapping at the field scale in order to predict the satellite detected images. • The captured images in the urban areas were so very cloudy and with so many disturbances to capture , so in our system we fails to identify the clarity of images.. (Apart from that the urban areas tends to opt for more spatial resolution • Landsat scenes are about 35% cloud covered on average globally and probability of taking two cloud-free observations of a Landsat images at southern Asia within 48 days is less than 60%

  5. Proposed System • A possible solution for applications that require fine spatial resolution (The spatial and temporal adaptive reflectance fusion model) STARFM was introduced. • STARFM model blends Landsat and MODIS data to generate synthetic “daily” surface reflectance products at Landsat spatial resolution. It requires a minimum of two image pairs as the inputs into the algorithm. • The STARFM approach can work with one image pair, which is a more flexible approach for cloudy regions where finding cloud-free Landsat scenes are very scarce. • The one image pair detection is useful in forward prediction of Landsat imagery because new MODIS data are available throughout the growing season

  6. System Architecture • HARWARE REQUIREMENT: Processor : Core 2 duo Speed : 2.2GHZ RAM : 2GB Hard Disk : 160GB • SOFTWARE REQUIREMENT: Platform : DOTNET (VS2010) , ASP.NET Dotnet framework 4.0 Database : SQL Server 2008 R2

  7. Architecture Diagram

  8. Records Breaks Asia Book Of Records Tamil Nadu Of Records India Of Records MVP Awards World Record

  9. Services: A Software /Manufacturing Research Company Run By Microsoft Most Valuable Professional Inplant Training. Internship. Workshop’s. Final Year Project’s. Industrial Visit. Contact Us: +91 98406 78906,+91 90037 18877 kaashiv.info@gmail.com www.kaashivinfotech.com Shivanantha Building (Second building to Ayyappan Temple),X41, 5th Floor, 2nd avenue,Anna Nagar,Chennai-40.

More Related