INNOVATIVE AERIAL IMAGE PROCESSING TECHNIQUES FOR ENHANCED SOIL EROSION DETECTION

Nikhil A, R. R
{"title":"INNOVATIVE AERIAL IMAGE PROCESSING TECHNIQUES FOR ENHANCED SOIL EROSION DETECTION","authors":"Nikhil A, R. R","doi":"10.55041/ijsrem36676","DOIUrl":null,"url":null,"abstract":"The health of ecosystems, land use, and agriculture are all seriously threatened by soil erosion.This innovative method makes use of sophisticated image processing techniques like contour evaluation, adaptive thresholding, Gaussian blur, and morphological operations to analyze aerial photos. The method increases the accuracy of detecting erosion and identifies susceptible areas in expansive landscapes. This scalable approach offers a potent weapon in the fight against soil degradation and promises to transform ecological monitoring and management. The novel approach represents a significant development in the evaluation of soil erosion andenvironmental preservation. Keyword: Soil Erosion, Aerial Photography, Image Processing, Gaussian Blur.","PeriodicalId":504501,"journal":{"name":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","volume":"14 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55041/ijsrem36676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The health of ecosystems, land use, and agriculture are all seriously threatened by soil erosion.This innovative method makes use of sophisticated image processing techniques like contour evaluation, adaptive thresholding, Gaussian blur, and morphological operations to analyze aerial photos. The method increases the accuracy of detecting erosion and identifies susceptible areas in expansive landscapes. This scalable approach offers a potent weapon in the fight against soil degradation and promises to transform ecological monitoring and management. The novel approach represents a significant development in the evaluation of soil erosion andenvironmental preservation. Keyword: Soil Erosion, Aerial Photography, Image Processing, Gaussian Blur.
创新航空图像处理技术,加强土壤侵蚀检测
这种创新方法利用复杂的图像处理技术,如轮廓评估、自适应阈值处理、高斯模糊和形态学运算来分析航空照片。该方法提高了检测水土流失的准确性,并能在广阔的地貌中识别易受影响的区域。这种可扩展的方法为防治土壤退化提供了有力武器,有望改变生态监测和管理。这种新方法是土壤侵蚀和环境保护评估领域的一项重大进展。关键词:土壤侵蚀、航空摄影、图像处理、高斯模糊。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信