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Use of Hidden Markov Models and Phenology for Multitemporal Satellite Image Classification: Applications to Mountain Vegetation Classification

机译：隐马尔可夫模型和物候学在多时相卫星图像分类中的应用：在山地植被分类中的应用

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Lars Aurdal; Ragnar Bang Huseby; Line Eikvil; Rune Solberg;
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年度 2008
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1. Texture analysis through a Markovian modelling and fuzzy classification: Application to urban area extraction from satellite images [J] . Lorette A., Zerubia J., Descombes X. International Journal of Computer Vision . 2000,第3期

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2. A Hidden Markov Models Approach for Crop Classification: Linking Crop Phenology to Time Series of Multi-Sensor Remote Sensing Data [J] . Clement Atzberger, Giorgos Mallinis, Maria Tsakiri-Strati, Remote Sensing . 2015,第4期

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4. Use of hidden Markov models and phenology for multitemporal satellite image classification: applications to mountain vegetation classification [C] . Aurdal, L., Ragnar Bang Huseby, . 2005

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5. Classification and segmentation of images using hidden Markov Gauss mixture models. [D] . Pyun, Kyungsuk. 2003

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6. A Method for Application of Classification Tree Models to Map Aquatic Vegetation Using Remotely Sensed Images from Different Sensors and Dates [O] . Hao Jiang, Dehua Zhao, Ying Cai, 2012

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7. A Hidden Markov Models Approach for Crop Classification: Linking Crop Phenology to Time Series of Multi-Sensor Remote Sensing Data [O] . Sofia Siachalou, Giorgos Mallinis, Maria Tsakiri-Strati 2015

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Use of Hidden Markov Models and Phenology for Multitemporal Satellite Image Classification: Applications to Mountain Vegetation Classification

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