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- W2146306064 abstract "We propose a new lossy compression algorithm for hyperspectral images, which is based on spectral principal component analysis (PCA), followed by JPEG2000 (JP2K). The approach employs an anomaly-removal model in the compression process to preserve anomalous pixels. Results on two different hyperspectral image scenes show that the new algorithm not only provides good post-compression anomaly-detection performance but also improves rate-distortion performance." @default.
- W2146306064 created "2016-06-24" @default.
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- W2146306064 date "2008-01-01" @default.
- W2146306064 modified "2023-10-16" @default.
- W2146306064 title "Anomaly-Based Hyperspectral Image Compression" @default.
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- W2146306064 doi "https://doi.org/10.1109/igarss.2008.4779159" @default.
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