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机译:利用SPOT 5影像对森林农业过渡带进行面向对象分类的小波包和统计纹理分析
College of Information and Electrical Engineering, China Agricultural University,Beijing 100083, PR China;
College of Information and Electrical Engineering, China Agricultural University,Beijing 100083, PR China;
College of Information and Electrical Engineering, China Agricultural University,Beijing 100083, PR China;
Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry,Beijing 100091, PR China;
College of Resource Environment and Tourism, Capital Normal University,Beijing 100048, PR China;
College of Information and Electrical Engineering, China Agricultural University,Beijing 100083, PR China;
College of Information and Electrical Engineering, China Agricultural University,Beijing 100083, PR China;
College of Information and Electrical Engineering, China Agricultural University,Beijing 100083, PR China;
机译:森林-农业交错带中基于SPOTS图像的基于知识的面向对象土地覆盖分类
机译:使用高分辨率图像对城市进行面向对象分类的纹理和局部空间统计
机译:基于小波包分析的统计损伤分类方法
机译:分类方法与二阶统计分析和小波变换的纹理图像分类比较
机译:面向对象的分类:泛锐QuickBird图像的分类和提高图像分割效率的模糊方法
机译:使用小波包变换进行表面粗糙度评估和纹理提取
机译:使用自适应小波包系数的单峰和多峰统计概率模型进行纹理分析。