Strategy for satellite data archival. Low noise variable-rate vector quantization with application to AVHRR satellite images: A tutorial review

摘要

Considering Advanced Very High Resolution Radiometer (AVHRR) radiances, the pruned greedy tree-structured vector quantizer is demonstrated to be the superior over technique in terms of performance and ease of implementation. The method yields very good visual and scientific reproducibility of the original high resolution images, showing RMS error within 2% for roughly 95% of the pixels in the scene even at 32:1 compression ratio. The error in spatially-everaged fields is less than 0.1% for averaging scales in excess of 50 kmx50 km. However, some important structural information is lost.