Object Recognition in Earth Surface Satellite Images Using Digital Image Processing and Machine Learning Techniques with Big Data Technologies

Author:

k Misba Khan1

Affiliation:

1. Independent Researcher, Bengaluru, Karnataka, India.

Abstract

Detection of an object from a satellite image is a difficult process because the presence of objects in a satellite image is unpredictable. Different approaches have been available to detect vehicles, buildings, trees however all these objects were detected individually through machine learning and some other methods. Similarly accuracy in object detection is another major issue. In our proposed work, To analyze the object accurately, Polygon approach is implemented which includes both shape and color as input and processes it with datasets to attain maximum accurate result. Here image parameters have been extracted accurately through feature detection. After segmentation of a particular object from image CNN classification is implemented. Through this, in our proposal we are going to detect roads, trees, buildings, waterway and few other objects accurately with this single approach.

Publisher

REST Publisher

Subject

Urology,Nephrology,History,Cultural Studies,Surgery,Surgery,Geotechnical Engineering and Engineering Geology,Industrial and Manufacturing Engineering,Geochemistry and Petrology,Geology,Geotechnical Engineering and Engineering Geology,Ecology,Geochemistry and Petrology,Geotechnical Engineering and Engineering Geology,Economic Geology,Geochemistry and Petrology,Energy (miscellaneous),Geotechnical Engineering and Engineering Geology,Renewable Energy, Sustainability and the Environment,Geochemistry and Petrology,Geotechnical Engineering and Engineering Geology,General Earth and Planetary Sciences,General Engineering,General Environmental Science

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3