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来源:职称驿站所属分类:技巧指导 发布时间:2024-11-08浏览:9836次
遥感方面的SCI文章,有几十万篇,具体可以通过WOS查询。本文介绍4篇这方面的文章题目和摘要。
1、题目:A Content-Based Remote Sensing Image Change Information Retrieval Model(基于内容的遥感图像变化信息检索模型)
摘要:With the rapid development of satellite remote sensing technology, the size of image datasets in many application areas is growing exponentially and the demand for Land-Cover and Land-Use change remote sensing data is growing rapidly……
(随着卫星遥感技术的快速发展,许多应用领域的图像数据集规模呈指数级增长,对土地覆盖和土地利用变化遥感数据的需求也在快速增长……)
2、题目:Soil Resource Assessment and Mapping using Remote Sensing and GIS(利用遥感和地理信息系统进行土壤资源评估和制图)
摘要:In this study digital image processing for physiographic analysis and soil resource mapping of Solani watershed was carried out using satellite remote sensing data and GIS. Digital image processing of satellite data facilitated in accurately delineating and identifying various soil mapping units. ……
本研究利用卫星遥感数据和地理信息系统对Solani流域进行了数字图像处理,用于自然地理分析和土壤资源制图。卫星数据的数字图像处理有助于准确描绘和确定各种土壤制图单位。……
3、题目:Remote sensing of suspended sediments and shallow coastal waters(悬浮沉积物和沿海浅水遥感)
Ocean color sensors were designed mainly for remote sensing of chlorophyll concentrations over the clear open oceanic areas (Case 1 water) using channels between 0.4-0.86 mum. ……
海洋颜色传感器主要设计用于使用0.4-0.86 μm之间的信道遥感清澈开阔的海洋区域(情况1水)上的叶绿素浓度……
4、题目:Deep Learning for Remote Sensing Applications(遥感应用的深度学习)
摘要:Recently, deep learning has become more important in remote sensing data processing. Huge amounts of data for artificial intelligence (AI) has been designed and built to develop new technologies for remote sensing, and AI models have been learned by the AI training dataset……
最近,深度学习在遥感数据处理中变得更加重要。人工智能(AI)的海量数据已被设计和构建,以开发遥感的新技术,人工智能模型已由人工智能训练数据集学习……
寻找遥感SCI文章,也可以找到遥感方向的期刊,比如推荐34本遥感SCI期刊,查看这些期刊往期的文章。
在遥感SCI文章、选刊、发表上还有什么问题,可以咨询在线学术顾问,可以推荐期刊,答疑介绍,全流程指导发表。
《遥感方面的SCI文章介绍4篇,附题目和摘要》
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文章名称: 遥感方面的SCI文章介绍4篇,附题目和摘要
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