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This paper reviews LiDAR ground filtering algorithms used in the process of creating Digital Elevation Models. We discuss critical issues for the development and application of LiDAR ground filtering algorithms, including filtering procedures for different feature types, and criteria for study site selection, accuracy assessment, and algorithm(More)
The advent of Light Detection and Ranging (LIDAR) technique provides a promising resource for three-dimensional building detection. Most current methods commonly fuse LIDAR data with other multi-spectral images to help remove vegetation based on NDVI or other vegetation indices; however, the fusing process may cause errors that are introduced by resolution(More)
Normalized Difference Vegetation Index (NDVI) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) time-series data has been widely used in the fields of crop and rice classification. The cloudy and rainy weather characteristics of the monsoon season greatly reduce the likelihood of obtaining high-quality optical remote sensing images. In(More)
This Article contains errors in Fig. 3. In panel b, the axes are displaced relative to the data, and in panel c, the label 'Species-specific GD' in red should read 'Species-specific GD (tandem)'. The correct version of Fig. 3 appears below as Fig. 1.
Taenia saginata, Taenia solium and Taenia asiatica (beef, pork and Asian tapeworms, respectively) are parasitic flatworms of major public health and food safety importance. Among them, T. asiatica is a newly recognized species that split from T. saginata via an intermediate host switch ∼1.14 Myr ago. Here we report the 169- and 168-Mb draft genomes of T.(More)
The peste des petits ruminants virus (PPRV) causes an increasingly important viral disease of livestock that predominantly infects small ruminants such as goats and sheep. It belongs to the Paramyxoviridae family and is classified as the fourth member of the genus Morbillivirus because of its genetic similarity with other members of this genus, which(More)
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Automatic ground filtering for Light Detection And Ranging (LIDAR) data is a critical process for Digital Terrain Model (DTM) and three-dimensional urban model generation. Although researchers have developed many methods to separate bare ground from other urban features, the problem has not been fully solved due to the similar characteristics possessed by(More)
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