ALTERNATIVE METHODOLOGIES FOR THE ESTIMATION OF LOCAL POINT DENSITY INDEX: MOVING TOWARDS ADAPTIVE LIDAR DATA PROCESSING

12 citations as recorded by crossref.

1. Optimising Mobile Mapping System Laser Scanner Orientation C. Cahalane et al. 10.3390/ijgi4010302
2. Using Relative Projection Density for Classification of Terrestrial Laser Scanning Data with Unknown Angular Resolution M. Chen et al. 10.3390/rs14236043
3. Semantic point cloud interpretation based on optimal neighborhoods, relevant features and efficient classifiers M. Weinmann et al. 10.1016/j.isprsjprs.2015.01.016
4. A new methodology to estimate the discrete-return point density on airborne lidar surveys J. Balsa-Barreiro & J. Lerma 10.1080/01431161.2013.878063
5. Object Semantic Segmentation in Point Clouds—Comparison of a Deep Learning and a Knowledge-Based Method J. Ponciano et al. 10.3390/ijgi10040256
6. Large-Scale ALS Data Semantic Classification Integrating Location-Context-Semantics Cues by Higher-Order CRF W. Han et al. 10.3390/s20061700
7. Calculation of Target-Specific Point Distribution for 2D Mobile Laser Scanners C. Cahalane et al. 10.3390/s140609471
8. Automatic Airborne Laser Scanning Data Quality Control Procedure for Environmental Studies B. Kraszewski et al. 10.2478/ffp-2020-0030
9. MIMIC: An Innovative Methodology for Determining Mobile Laser Scanning System Point Density C. Cahalane et al. 10.3390/rs6097857
10. DEVELOPMENT OF METHOD FOR ESTIMATING GREEN SPACE RATIO WITH TERRESTRIAL LASER SCANNER IN URBAN AREAS T. WAKITA et al. 10.2208/jscejcei.72.41
11. An Improved DBSCAN Method for LiDAR Data Segmentation with Automatic Eps Estimation C. Wang et al. 10.3390/s19010172
12. Fast ground filtering for TLS data via Scanline Density Analysis E. Che & M. Olsen 10.1016/j.isprsjprs.2017.05.006