{"title":"卷积神经网络在遥感图像分类中的应用","authors":"Han Yaochang, Wang Jie","doi":"10.1109/IICSPI48186.2019.9096058","DOIUrl":null,"url":null,"abstract":"Aiming at the problem of remote sensing image classification, this paper designs an improved convolutional neural network structure. Combined with the transfer learning method, the classification experiments of different remote sensing image datasets are compared, and the effectiveness and versatility of the proposed method are verified.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Convolutional Neural Networks in Remote Sensing Image Classification\",\"authors\":\"Han Yaochang, Wang Jie\",\"doi\":\"10.1109/IICSPI48186.2019.9096058\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the problem of remote sensing image classification, this paper designs an improved convolutional neural network structure. Combined with the transfer learning method, the classification experiments of different remote sensing image datasets are compared, and the effectiveness and versatility of the proposed method are verified.\",\"PeriodicalId\":318693,\"journal\":{\"name\":\"2019 2nd International Conference on Safety Produce Informatization (IICSPI)\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 2nd International Conference on Safety Produce Informatization (IICSPI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IICSPI48186.2019.9096058\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICSPI48186.2019.9096058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of Convolutional Neural Networks in Remote Sensing Image Classification
Aiming at the problem of remote sensing image classification, this paper designs an improved convolutional neural network structure. Combined with the transfer learning method, the classification experiments of different remote sensing image datasets are compared, and the effectiveness and versatility of the proposed method are verified.