Summary of experimental results of dehazed images on BDBO dataset in terms of ACC by using five (5) features’ subsets (100, 250, 500, 750, and 1000 features) with SVM and KNN classifiers.
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https://figshare.com/articles/dataset/Summary_of_experimental_results_of_dehazed_images_on_BDBO_dataset_in_terms_of_ACC_by_using_five_5_features_subsets_100_250_500_750_and_1000_features_with_SVM_and_KNN_classifiers_/28273758
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资源简介：
Summary of experimental results of dehazed images on BDBO dataset in terms of ACC by using five (5) features’ subsets (100, 250, 500, 750, and 1000 features) with SVM and KNN classifiers.
基于BDBO数据集的去雾图像实验结果总结：本实验采用支持向量机（Support Vector Machine, SVM）与k近邻（k-Nearest Neighbor, KNN）分类器，搭配5组特征子集（特征数量分别为100、250、500、750及1000），以准确率（Accuracy, ACC）作为评价指标。
创建时间：
2025-01-24
