An operational approach for hyperspectral image compression

In lossy compression such as PCA+JPEG2000 for hyperspectral imagery, the bitrate is usually not fixed, resulting in various rate-distortion performance. In this paper, we propose an operational approach to determine the approximately optimal bitrate to be used to preserve both the majority of the information in the dataset as well as the anomalous pixels. The classification results using the reconstructed data after compression with this bitrate are comparable to those using the original data without compression; meanwhile, detection accuracy can be 100% if all the anomalies are pre-removed before compression.