Convolutional variational autoencoders for secure lossy image compression in remote sensing

arXiv:2404.03696v1 Announce Type: cross
Abstract: The volume of remote sensing data is experiencing rapid growth, primarily due to the plethora of space and air platforms equipped with an array of sensors. Due to limited hardware and battery constraints the data is transmitted back to Earth for processing. The large amounts of data along with security concerns call for new compression and encryption techniques capable of preserving reconstruction quality while minimizing the transmission cost of this data back to Earth. This …

abstract array arxiv autoencoders battery compression constraints cs.lg data earth eess.iv growth hardware image platforms processing sensing sensors space type variational autoencoders