Weakly Supervised Classification of Hyperspectral Image Based on Complementary Learning

In recent years, supervised learning-based methods have achieved excellent performance for hyperspectral image (HSI) classification. However, the collection of training samples with labels is not only costly but also time-consuming. This fact usually causes the existence of weak supervision, includi...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Lingbo Huang, Yushi Chen, Xin He
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2021-12-01
سلاسل:	Remote Sensing
الموضوعات:	complementary learning convolutional neural network (CNN) deep learning hyperspectral image classification weakly supervised learning
الوصول للمادة أونلاين:	https://www.mdpi.com/2072-4292/13/24/5009
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!