Remote Sensing and Spatial Information Sciences
By R. Reulke, U. Knauer. 2005
3,387 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/18648407e048086fad9bce8a6fb23c68229fe0d1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- G. Sithole
- Jixian Zhang
- Roberto Arroyo
- Fabio Remondino
- Xiangguo Lin
- A. Bienert
- Guillermo Castilla
- Pablo Fernández Alcantarilla
Citations in the corpus
- Towards a three-dimensional cost-effective registration of the archaeological heritage (2013, background): “…GIS to obtain 3D excavation plans (e.g. Barceló et al., 2003; Barceló and Vicente, 2004; Katsianis et al., 2008; Losier et al., 2007), while other researchers have investigated laser scanning for the recording of archaeological excavations (e.g. Doneus and Neubauer, 2005; McPherron et al., 2009).”
- Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling (2017, unknown): “As a basic surface property, surface normals are heavily used in many areas including 3D shape reconstruction, plane extraction, and point set registration [5, 14, 28, 39, 40].”
- State-of-The-Art and Applications of 3D Imaging Sensors in Industry, Cultural Heritage, Medicine, and Criminal Investigation (2009, methodology): “3D data are used in prosthetics design, plastic surgery, orthopaedy, prothetic orthodontics, surgery and dermatology [16, 109].”
- Comparative classification analysis of post-harvest growth detection from terrestrial LiDAR point clouds in precision agriculture (2015, background): “;) or grain crop monitoring (Höfle, 2014; Llorens et al., 2011; Lumme et al., 2008; Saeys et al., 2009) with a stationary or tractor-mounted scanner.”
- AN ADAPTIVE APPROACH FOR SEGMENTATION OF 3D LASER POINT CLOUD (2012, unknown): “Tovari and Pfeifer (2005) introduced a region growing segmentation method for airborne laser data.”
- Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds (2004, background): “Further details can be found in Roggero (2001).”
- Advances in fusion of optical imagery and LiDAR point cloud applied to photogrammetry and remote sensing (2017, background): “Originally, a common prerequisite for true orthophoto generation is the demand for the digital city models (Schickier and Anthony 1998) or 3D digital building models (Amhar et al. 1998, Kuzmin et al. 2004).”
- Change detection from remotely sensed images: From pixel-based to object-based approaches (2013, methodology): “…information technologies (GIT) along with some dedicated object-based image analysis system (such as eCognition, IMAGINE Objective, and ENVI’s Feature Extraction module) have helped bring object-based image analysis to the mainstream (Addink et al., 2012; Aplin and Smith, 2008; Longley, 2002).”