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An operational approach for hyperspectral image compression.
| Content Provider | CiteSeerX |
|---|---|
| Author | Du, Qian Ly, Nam Fowler, James E. |
| Abstract | 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. Index Terms — hyperspectral image, compression, classification, anomaly detection. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Operational Approach Hyperspectral Image Compression Pca Jpeg2000 Lossy Compression Index Term Hyperspectral Image Anomaly Detection Various Rate-distortion Performance Anomalous Pixel Hyperspectral Imagery Operational Approach Classification Result Original Data Optimal Bitrate Detection Accuracy |
| Content Type | Text |
