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Remote Sensing Data Classification Using A Hybrid Pre-Trained VGG16 CNN- SVM Classifier

Research article (2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), 2021) · cited 28× · AI/ML
academia openalex:W3155620069
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Remote Sensing Data Classification Using A Hybrid Pre-Trained VGG16 CNN- SVM Classifier

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Remote Sensing Data Classification Using A Hybrid Pre-Trained VGG16 CNN- SVM Classifier is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Remote Sensing Data Classification Using A Hybrid Pre-Trained VGG16 CNN- SVM Classifier. Retrieved May 24, 2026, from https://4ort.xyz/entity/remote-sensing-data-classification-using-a-hybrid-pre-trained-vgg16-cnn-svm-classifier
MLA “Remote Sensing Data Classification Using A Hybrid Pre-Trained VGG16 CNN- SVM Classifier.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/remote-sensing-data-classification-using-a-hybrid-pre-trained-vgg16-cnn-svm-classifier.
BibTeX @misc{4ortxyz_remote-sensing-data-classification-using-a-hybrid-pre-trained-vgg16-cnn-svm-classifier_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Remote Sensing Data Classification Using A Hybrid Pre-Trained VGG16 CNN- SVM Classifier}}, year = {2026}, url = {https://4ort.xyz/entity/remote-sensing-data-classification-using-a-hybrid-pre-trained-vgg16-cnn-svm-classifier}, note = {Accessed: 2026-05-24}}
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