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机译:使用多时间ETM + SLC-off影像和随机森林进行面向对象的农作物分类
Department of Land Resources and Environmental Sciences, Montana State University, P.O. Box 173120, Bozeman, MT 59715-3120, USA;
Department of Land Resources and Environmental Sciences, Montana State University, P.O. Box 173120, Bozeman, MT 59715-3120, USA;
Department of Mathematical Sciences, Montana State University, Bozeman, MT 59715-3120, USA;
Department of Land Resources and Environmental Sciences, Montana State University, P.O. Box 173120, Bozeman, MT 59715-3120, USA;
Department of Land Resources and Environmental Sciences, Montana State University, P.O. Box 173120, Bozeman, MT 59715-3120, USA;
remote sensing; agriculture; classification; multitemporal; multispectral; object-oriented; random forest; Enhanced Thematic Mapper Plus; Landsat;
机译:使用多时态Landsat TM / ETM +图像比较巴西亚马逊河段和基于像素的非参数土地覆盖分类
机译:使用多季节Landsat-7 ETM +影像对佛罗里达喀斯特景观中的湿地进行分割和面向对象的分类
机译:使用随机森林模型从Landsat 7 ETM +图像中在秘鲁基于像素的作物分类
机译:用于使用受监督随机森林的食物作物植物阶段分类的多立体遥感数据
机译:评估地形归一化对Landsat ETM +影像分类精度的影响。
机译:河北平原多立方特征和多立体四极石雷达拉特 - 2图像组合旱地作物分类
机译:使用Multi8poral Landsat ETM +图像来确定摩托车Vantylvanian Carpathians - 罗马尼亚森林资源的可持续开发模式