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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | A SURVEY ON BIG DATA REMOTE SENSING IMAGE CLASSIFICATION USING DEEP LEARNING TECHNIQUES |
| Authors Name: | Ms.MH.Vahitha Rahman , Dr.M.Vanitha |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_185615
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| Published Paper Id: | IJNRD2301043 |
| Published In: | Volume 8 Issue 1, January-2023 |
| DOI: | |
| Abstract: | Big data analysis undertakes a significant role in Earth statement by means of remote sensing images, meanwhile the explosion of data images as of multiple sensors is used in copious fields. The old-style data analysis techniques have different limitations on storing and processing enormous volumes of data. In addition, gigantic remote sensing data analytics demand sophisticated algorithms constructed on specific techniques towards store to process the data in real-time or in near real-time with high accuracy, efficiency, and high speed. Remote sensing image classification plays an important role in the earth analysis technology using Remote Sensing Data Though, due to the individualities of Remote Sensing data such as high dimensionality as well as moderately lesser amounts of labeled samples available, accomplishment Remote Sensing image classification faces great scientific and practical challenges. In modern years, as innovative Deep Learning techniques emerge, approaches to Remote Sensing image classification with Deep Learning have succeeded significant innovations, offering novel opportunities for the research and development of Remote Sensing image classification. Deep learning is currently an extremely active research area in machine learning and pattern recognition as the data keeps getting larger, deep learning is coming to play a key role in providing big data predictive analytics solutions. In this survey paper, a brief overview of Big Data, Deep learning, Image processing with classification and Indexing of image storage nodes are provided Some important open issues and further research directions will also be presented for the next step of remote sensing image classification in big data analytics. |
| Keywords: | Big Data; Deep Learning; Remote Sensing; Image Classification; Indexing of image |
| Cite Article: | "A SURVEY ON BIG DATA REMOTE SENSING IMAGE CLASSIFICATION USING DEEP LEARNING TECHNIQUES", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 1, page no.a365-a373, January-2023, Available :http://www.ijnrd.org/papers/IJNRD2301043.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2301043 Registration ID: 185615 Published In: Volume 8 Issue 1, January-2023 DOI (Digital Object Identifier): Page No: a365-a373 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2301043 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2301043 |
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ISSN: 2456-4184
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