Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
Abstract: Breast cancer is one of the most prevalent and life-threatening diseases affecting women worldwide. Early and accurate diagnosis is critical for effective treatment and improved patient ...
Abstract: In order to improve the accuracy of image classification and the robustness of the algorithm, this paper proposes a Image classification algorithm based on LTS-HD(Least Trimmed Square ...
Abstract: Access to healthy food plays a crucial role in ensuring national food security. One of the main challenges in healthy food production is maintaining the quality of fruits, which are ...
Abstract: The UC Merced (UCM) land use dataset is a widely adopted benchmark for evaluating aerial image classification algorithms. This paper presents a comparative performance analysis of prominent ...
Abstract: In this paper, an improved convolutional neural network (CNN) model is proposed to solve the problems of traditional CNNS in processing some complex image classification tasks. By ...