Sep 15, 2016 · Active deep learning classification of hyperspectral images is considered in this paper. Deep learning has achieved success in many ...
Abstract—Active deep learning classification of hyperspectral images is considered in this paper. Deep learning has achieved success in many applications, ...
The proposed algorithm is applied for the classification of hyperspectral images, and compared with other classification algorithms employing active learning.
—Active deep learning classification of hyperspectral images is considered in this paper. Deep learning has achieved success in many applications, but good ...
Jan 11, 2021 · Abstract: In hyperspectral image classification, a large number of labeled samples are necessary for deep network training.
Aug 11, 2021 · First, the research progress of related methods is categorized according to the learning paradigm, including transfer learning, active learning ...
Oct 22, 2024 · Hyperspectral image (HSI) classification has become a hot topic in the field of remote sensing. In general, the complex characteristics of ...
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This paper provides a comprehensive review of the current-state-of-the-art in DL for HSI classification, analyzing the strengths and weaknesses of the most ...
In this paper, a visible/near-infrared active HSI classification method illuminated by a visible/near-infrared supercontinuum laser is developed for spectra ...
This example shows how to classify hyperspectral images using a custom spectral convolution neural network (CSCNN) for classification.