Mixed noise pollution in HSI severely disturbs subsequent interpretations and applications.
In this technical review, we first give the noise analysis in different noisy HSIs and conclude …

In recent years, remote sensing recognition technology has found extensive applications in
diverse fields, such as modern agriculture, forest management, urban planning, natural …

Cross-scene hyperspectral image classification (HSIC) poses a significant challenge in
recognizing hyperspectral images (HSIs) from different domains. The current mainstream …

Malware open-set recognition (MOSR) is an emerging research domain that aims at jointly
classifying malware samples from known families and detecting the ones from novel …

Deep learning-based methods have shown promising outcomes in many fields. However,
the performance gain is always limited to a large extent in classifying hyperspectral image …

Deep learning methods have significantly progressed in hyperspectral image (HSI)
classification. However, deep learning relies on large labeled data for training. The cost of …

Recently, some literature has begun to pay attention to the open-set problem in remote
sensing application scenarios and studied various open-set hyperspectral image …

In this article, a two-dimensional (2-D) spectral representation is proposed for the
visualization and classification of hyperspectral images (HSIs). First, several sequence data …

Deep learning-based classification methods of hyperspectral images (HSIs) have made
significant progress recently, catching the attention of academia and industry; however, the …

In the past few years, there has been significant progress in hyperspectral image
classification (HSIC). However, when the trained classifier on the source scene is directly …