{"title":"Comparison of convolutional neural network and support vector machine for identification of forest types and burned areas","authors":"Boxin Li, Hong-e Ren, Pinliang Dong, Jing Tian","doi":"10.1117/1.jrs.18.014531","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":54879,"journal":{"name":"Journal of Applied Remote Sensing","volume":null,"pages":null},"PeriodicalIF":1.4000,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Applied Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1117/1.jrs.18.014531","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
期刊介绍:
The Journal of Applied Remote Sensing is a peer-reviewed journal that optimizes the communication of concepts, information, and progress among the remote sensing community.