ºÝºÝߣshows by User: ShirishAgale / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: ShirishAgale / Tue, 02 Aug 2016 07:04:48 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: ShirishAgale Satellite image classification and content base image retrieval using type-2 fuzzy logic /slideshow/satellite-image-classification-and-content-base-image-retrieval-using-type2-fuzzy-logic/64606315 satelliteimageclassificationandcontent-baseimageretrievalusingtype-2fuzzylogic-160802070448
The detection of oceanic structures, such as upwelling’s or eddies, from satellite images has significance for marine environmental studies, coastal resource management, and ocean dynamics studies. There is a lack of tools that allow us to retrieve automatically relevant structures from large satellite image databases. This presentation focuses on the development and validation of a Content-Based Image Retrieval (CBIR) system to classify and retrieve oceanic structures from satellite images.]]>
The detection of oceanic structures, such as upwelling’s or eddies, from satellite images has significance for marine environmental studies, coastal resource management, and ocean dynamics studies. There is a lack of tools that allow us to retrieve automatically relevant structures from large satellite image databases. This presentation focuses on the development and validation of a Content-Based Image Retrieval (CBIR) system to classify and retrieve oceanic structures from satellite images.]]> Tue, 02 Aug 2016 07:04:48 GMT /slideshow/satellite-image-classification-and-content-base-image-retrieval-using-type2-fuzzy-logic/64606315 ShirishAgale@slideshare.net(ShirishAgale) Satellite image classification and content base image retrieval using type-2 fuzzy logic ShirishAgale The detection of oceanic structures, such as upwelling’s or eddies, from satellite images has significance for marine environmental studies, coastal resource management, and ocean dynamics studies. There is a lack of tools that allow us to retrieve automatically relevant structures from large satellite image databases. This presentation focuses on the development and validation of a Content-Based Image Retrieval (CBIR) system to classify and retrieve oceanic structures from satellite images. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/satelliteimageclassificationandcontent-baseimageretrievalusingtype-2fuzzylogic-160802070448-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The detection of oceanic structures, such as upwelling’s or eddies, from satellite images has significance for marine environmental studies, coastal resource management, and ocean dynamics studies. There is a lack of tools that allow us to retrieve automatically relevant structures from large satellite image databases. This presentation focuses on the development and validation of a Content-Based Image Retrieval (CBIR) system to classify and retrieve oceanic structures from satellite images.
Satellite image classification and content base image retrieval using type-2 fuzzy logic from Shirish Agale
]]> 599 7 https://cdn.slidesharecdn.com/ss_thumbnails/satelliteimageclassificationandcontent-baseimageretrievalusingtype-2fuzzylogic-160802070448-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-ShirishAgale-48x48.jpg?cb=1495110275 To associate myself with a progressive organization that gives me the scope to apply my knowledge and skills and to involve as a part of the team that dynamically strives towards the growth of the organization.