1. Efficient and robust lane marking extraction from mobile lidar point clouds p. 1-18 2. Structure from motion for ordered and unordered image sets based on random k-d forests and global pose est…
1. A tentative test for measuring the sub-millimeter settlement and uplift of a high-speed railway bridge using COSMO-SkyMed images p. 1-12 2. A robust method for reconstructing global MODIS EVI t…
1. Pixel size of aerial imagery constrains the applications of unmanned aerial vehicle in crop breeding p. 1-9 2. Generation of long-term InSAR ground displacement time-series through a novel mult…
1. Reliable image matching via photometric and geometric constraints structured by Delaunay triangulation p. 1-20 2. Illumination-Robust remote sensing image matching based on oriented self-simila…
1. Spatial, temporal, and spectral variations in albedo due to vegetation changes in China’s grasslands p. 1-12 2. An improved algorithm for estimating the Secchi disk depth from remote sensing …
1. Design and evaluation of a full-wave surface and bottom-detection algorithm for LiDAR bathymetry of very shallow waters p. 1-10 2. Including Sentinel-1 radar data to improve the disaggregation …
1. Automated detection and measurement of individual sorghum panicles using density-based clustering of terrestrial lidar data p. 1-13 2. 3D gray level co-occurrence matrix and its application to …
1. A dual band algorithm for shallow water depth retrieval from high spatial resolution imagery with no ground truth P. 1-13 2. Robust registration for remote sensing images by combining and local…
1. Analysis of urban surface morphologic effects on diurnal thermal directional anisotropy p. 1-12 2. Improving LiDAR classification accuracy by contextual label smoothing in post-processing p. 13…
1.Application of convolutional neural networks for low vegetation filtering from data acquired by UAVs p.1-10 2.Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover mappi…
1.TreeUNet: Adaptive Tree convolutional neural networks for subdecimeter aerial image segmentation p.1-13 2.Mapping dead forest cover using a deep convolutional neural network and digital aerial p…
1.Large-scale MODIS AOD products recovery: Spatial-temporal hybrid fusion considering aerosol variation mitigation p.1-12 2.Optimizing multiscale segmentation with local spectral heterogeneity mea…
1. Automatic registration of a single SAR image and GIS building footprints in a large-scale urban area p. 1-14 2. Parsing very high resolution urban scene images by learning deep ConvNets with ed…
1. Comparison of land surface phenology in the Northern Hemisphere based on AVHRR GIMMS3g and MODIS datasets p. 116 2. Retrieving snow wetness based on surface and volume scattering simulation 17-…
1. A low-cost UAV framework towards ornamental plant detection and counting in the wild p.1-11 2. X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data p…
1. See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning p. 1-16 2. Pruning multi-view ste…
1. A label-noise robust active learning sample collection method for multi-temporal urban land-cover classification and change analysisp. 1-17 2. Robust normal vector estimation in 3D point clouds…
1. Photogrammetric determination of 3D crack opening vectors from 3D displacement fields p. 1-10 2. National wetland mapping in China: A new product resulting from object-based and hierarchical cl…
1. HyNet: Hyper-scale object detection network framework for multiple spatial resolution remote sensing imagery p. 1-14 2. Near-real time forecasting and change detection for an open ecosystem wit…
1. Heuristic sample learning for complex urban scenes: Application to urban functional-zone mapping with VHR images and POI data p. 1-12 2. 3D map-guided single indoor image localization refinemen…