Comparison of a new classifier, the Mix–Unmix Classifier, with conventional hard and soft classifiers

Thomas G. Ngigi Center for Environmental Remote Sensing, Chiba University, 1‐33 Yayoi, Inage, Chiba, 263‐8522, JapanCorrespondence[email protected]

Ryutaro Tateishi Center for Environmental Remote Sensing, Chiba University, 1‐33 Yayoi, Inage, Chiba, 263‐8522, Japan

Adel Shalaby Center for Environmental Remote Sensing, Chiba University, 1‐33 Yayoi, Inage, Chiba, 263‐8522, Japan

Nehal Soliman Center for Environmental Remote Sensing, Chiba University, 1‐33 Yayoi, Inage, Chiba, 263‐8522, Japan

Mohamed Ghar Center for Environmental Remote Sensing, Chiba University, 1‐33 Yayoi, Inage, Chiba, 263‐8522, Japan

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Acknowledgement

The ETM+ data was downloaded from the NASA Applied Sciences Directorate website (GeoCover Landsat).

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Comparison of a new classifier, the Mix–Unmix Classifier, with conventional hard and soft classifiers

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Comparison of a new classifier, the Mix–Unmix Classifier, with conventional hard and soft classifiers

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