Rapid advancement in the development of hyperspectral image analysis techniques has led
to specialized hyperspectral missions. It results in the bulk transmission of hyperspectral …

Rapid and continuous advancements in remote sensing technology have resulted in finer
resolutions and higher acquisition rates of hyperspectral images (HSIs). These …

The Special Issue on hyperspectral imaging (HSI), entitled “The Future of Hyperspectral
Imaging”, has published 12 papers. Nine papers are related to specific current research and …

The large-scale acquisition of multi-temporal hyperspectral images has increased the
demand for a more efficient compression strategy to reduce the large size of such images. In …

The size of remote sensing (RS) image is indeed massive due to hundreds capturing
wavelengths bands used for collecting information about the ground surface. The data in the …

To achieve efficient lossless compression of hyperspectral images, we design a
concatenated neural network, which is capable of extracting both spatial and spectral …

This study explores the utilization of Binary Embedded Zero Tree Wavelet Algorithms
(BEZW) to compress hyperspectral images. The primary goal is to enhance the …

The integration of video sensors on-board satellites is becoming a trend in the space
industry, since they provide extra information in the temporal domain when compared with …

Remote sensing technologies, which are essential for everything from environmental
monitoring to disaster relief, enable large-scale multispectral data collection. In the field of …

With the increased use of image acquisition devices, including cameras and medical
imaging instruments, the amount of information ready for long term storage is also growing …