Paper Title

A SURVEY ON BIG DATA REMOTE SENSING IMAGE CLASSIFICATION USING DEEP LEARNING TECHNIQUES

Article Identifiers

Registration ID: IJNRD_185615

Published ID: IJNRD2301043

DOI: Click Here to Get

Authors

Ms.MH.Vahitha Rahman , Dr.M.Vanitha

Keywords

Big Data; Deep Learning; Remote Sensing; Image Classification; Indexing of image

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.

How To Cite

"A SURVEY ON BIG DATA REMOTE SENSING IMAGE CLASSIFICATION USING DEEP LEARNING TECHNIQUES", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 1, page no.a365-a373, January-2023, Available :https://ijnrd.org/papers/IJNRD2301043.pdf

Issue

Volume 8 Issue 1, January-2023

Pages : a365-a373

Other Publication Details

Paper Reg. ID: IJNRD_185615

Published Paper Id: IJNRD2301043

Downloads: 000121132

Research Area: Engineering

Country: -, -, -

Published Paper PDF: https://ijnrd.org/papers/IJNRD2301043.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301043

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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

Publisher: IJNRD (IJ Publication) Janvi Wave

Publication Timeline

Peer Review
Through Scholar9.com Platform

Article Preview: View Full Paper

Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High 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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more

How to submit the paper?

Important Dates for Current issue

Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area