机译:使用基于BoVW和pLSA的场景分类方法从遥感影像中自动进行滑坡检测
Department of Control and Information, School of Automation, Northwestern Polytechnical University, Xi 'an 710072, PR China;
Department of Control and Information, School of Automation, Northwestern Polytechnical University, Xi 'an 710072, PR China;
Department of Control and Information, School of Automation, Northwestern Polytechnical University, Xi 'an 710072, PR China;
Department of Control and Information, School of Automation, Northwestern Polytechnical University, Xi 'an 710072, PR China;
Department of Control and Information, School of Automation, Northwestern Polytechnical University, Xi 'an 710072, PR China;
Department of Control and Information, School of Automation, Northwestern Polytechnical University, Xi 'an 710072, PR China;
机译:基于Visual-Lock和Doc2Vec模型的场景分类,用于高空间分辨率遥感图像
机译:基于多指标场景表示的城市高分辨率遥感影像自动变化检测新方法
机译:基于小波变换和Taguchi方法的数据融合技术,可从机载激光扫描数据和QuickBird卫星影像中自动检测滑坡
机译:使用监督分类方法从遥感图像自动滑坡检测
机译:使用Sentinel-2图像进行半自动滑坡检测:案例研究A?Asco河流域,波多黎各
机译:高空间分辨率遥感影像中基于超复杂Flourier变换显着性模型的舰船目标自动检测
机译:利用小波变换的数据融合技术和算法自动滑坡检测自动滑坡检测和Quickbird卫星图像的方法