RS-LLIC: A Lightweight Learned Image Compression Model With Knowledge Distillation for Onboard Remote Sensing (opens in new tab)

With the rapid advancement of remote sensing satellites toward higher spatial resolution and revisit frequency, the explosive growth of image data has posed severe challenges to the efficiency of space-to-ground transmission. Traditional onboard compression standards, such as JPEG2000, often fail to maintain satisfactory reconstruction quality under high compression ratios, limiting their applicability in large-scale remote sensing scenarios. Although learned image compression (LIC) methods h...