In developing countries, urban areas have high building densities with complex building pattern. Therefore, detecting and classifying building data can be challenging as it is difficults to separat…
Airbone LIDAR data classification using machine learning algorithm has been a hot topic within the geospasial information community. LIDAR data interpretation based on point clouds is a major doma…
This thesis investigates the use of optical remote sensing as proxies for the inspection of grass covered dikes. The proof of concept showed that significant relationship exist between various grou…
Remote sensing adalah salah satu metode pengamatan atau pengukuran unsur-unsur spasial permukaan bumi. Metode yang sangat efektif dan efisien ini banyak memiliki varian vrian dalam menyediakan reka…
1. Analyzing multi–domain learning for enhanced rockfall mapping in known and unknown planetary domains p. 1-13 2. Progressive split-merge super resolution for hyperspectral imagery with group …
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. Automated LoD-2 model reconstruction from very-high-resolution satellite-derived digital surface model and orthophoto p. 1-19 2. A deep learning algorithm to detect and classify sun glint from…
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. Combining data-and-model-driven 3D modelling (CDMD3DM) for small indoor scenes using RGB-D data p. 1-13 2. Phase unmixing of TerraSAR-X staring spotlight interferograms in building scale for P…
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. GraNet: Global relation-aware attentional network for semantic segmentation of ALS point clouds p. 1-20 2. Spatio temporal changes of glacier and seasonal snow fluctuations over the Namcha Bar…
1. A semi-empirical scheme for bathymetric mapping in shallow water by ICESat-2 and Sentinel-2: A case study in the South China Sea p. 1-19 2. Dual-polarimetric descriptors from Sentinel-1 GRD SA…
1. Target-based automated matching of multiple terrestrial laser scans for complex forest scenes p. 1-13 2. A deep translation (GAN) based change detection network for optical and SAR remote sens…
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…
1. Transferring deep learning models for cloud detection between Landsat-8 and Proba-Vp. 1-17 2. Estimating winter wheat yield based on a light use efficiency model and wheat variety datap. 18-32 …
1. Wide-area invasive species propagation mapping is possible using phenometric trends p. 1-12 2. Automatic scale estimation of structure from motion based 3D models using laser scalers in underwa…
1. Voronoi classified and clustered data constellation: A new 3D data structure for geomarketing strategies p. 1-16 2. Recent ENSO influence on East African drought during rainy seasons through th…