The decoupling training method can effectively solve imbalanced hyperspectral image classification problem, but the two-stage training scheme introduces the ...

Aug 8, 2024 · Due to differences in the quantity and size of observed targets, hyperspectral images are characterized by class imbalance.

The standard deep learning classification model training scheme optimizes the overall classification error, which may lead to performance imbalance between ...

The standard deep learning classification model training scheme optimizes the overall classification error, which may lead to performance imbalance between ...

Factor annealing decoupling compositional training method for imbalanced hyperspectral image classification. Authors. Li, Xiaojun; Su, Yi; Yao, Junping; Guo ...

The standard deep learning classification model training scheme optimizes the overall classification error, which may lead to performance imbalance between ...

Factor annealing decoupling compositional training method for imbalanced hyperspectral image classification Issue 10, 2024. A novel factor annealing ...

Experimental results on two hyperspectral image datasets demonstrate that the proposed factor annealing decoupling compositional training method can ...

Factor annealing decoupling compositional training method for imbalanced hyperspectral image classification. IET Image Processing. 2024-05 | Journal article.

Factor annealing decoupling compositional training method for imbalanced hyperspectral image classification. Request PDF. Open Access. IET Image Processing.