Hyperspectral anomaly detection (HAD) is challenging especially when anomalies are presented in sub-pixel form. The spectral signatures of anomalies in mixed pixels are mixed with those of background. making anomalies difficult to be distinguished from background. Most existing methods detect sub-pixel targets in abundance space by spectral unmixing. https://balboasurfandsstylers.shop/product-category/womens-button-up/
A cascaded autoencoder unmixing network for Hyperspectral anomaly detection
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