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

This paper establishes a review of the recent study in the field of hyperspectral (HS) image
compression approaches. Recently, image compression techniques have achieved …

Remote sensing satellite images are used widely in space imaging applications as they
collect significant information of ground objects through capturing the ground surface in …

The accurate onboard detection of clouds in hyperspectral images before lossless
compression is beneficial. However, conventional onboard cloud detection methods are not …

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 …

Hyperspectral imaging (HSI) technology has been used for various remote sensing
applications due to its excellent capability of monitoring regions-of-interest over a period of …

Although convolutional neural networks (CNNs) have made significant progress, their
deployment onboard is still challenging because of their complexity and high processing …

Real-time image lossless and near-lossless compression based on LOCO-I algorithm is in
great demand in many critical missions, such as satellite remote sensing, space exploration …

For efficient compression of hyperspectral images, we propose a universal Golomb-Rice
coding parameter estimation method using deep belief network, which does not rely on any …

As the resolution of the on-board imaging spectrometer keeps improving, the data
acquisition rate increases and a resource-limited satellite environment necessitates for …