Hyperspectral images (HSIs) have a cube form containing spatial information in two
dimensions and rich spectral information in the third one. The high volume of spectral bands …

Hyperspectral imaging has attracted significant attention to identify spectral signatures for
image classification and automated pattern recognition in computer vision. State-of-the-art …

The spectral super-resolution techniques attempt to re-project spectrally coarse images to a
set of finer wavelength bands. However, complexity of the mapping between coarser and …

Hyperspectral imaging is currently a very well-known and much used technology for
measuring features in different fields, such as chemistry, geology, medicine, food and …

This paper aims to restore a clear image at high resolution from a low-resolution and motion-
blurred image. To this end, we propose an end-to-end neural network named P2GAN …

摘要高光谱图像中包含丰富的光谱特征和空间特征, 这对地表物质的分类至关重要.
然而高光谱图像的空间分辨率相对较低, 使得图像中存在大量的混合像素 …

The development of modern Machine Learning (ML) frameworks trained on large datasets
established a rapid increase in the performance of cognitive computing algorithms for a wide …