2021
DOI: 10.3390/rs13030511
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Airborne LiDAR Intensity Correction Based on a New Method for Incidence Angle Correction for Improving Land-Cover Classification

Abstract: Light detection and range (LiDAR) intensity is an important feature describing the characteristics of a target. The direct use of original intensity values has limitations for users, because the same objects may have different spectra, while different objects may have similar spectra in the overlapping regions of airborne LiDAR intensity data. The incidence angle and range constitute the geometric configuration of the airborne measurement system, which has an important influence on the LiDAR intensity. Conside… Show more

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Cited by 5 publications
(3 citation statements)
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“…At the wavelengths of both LiDAR scanners, targets with strong alteration reflect the most energy of the scanner's laser beam of all the samples. The difference in return intensity between the two platforms is likely related to the increased complexity of airborne acquisition, e.g., atmospheric absorption [17,20,[33][34][35][36][37][38]. Since our laboratory data are collected from a short distance and perpendicular to the general sample surface, this represents the target reflectivity [27].…”
Section: Comparison With Laboratory Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…At the wavelengths of both LiDAR scanners, targets with strong alteration reflect the most energy of the scanner's laser beam of all the samples. The difference in return intensity between the two platforms is likely related to the increased complexity of airborne acquisition, e.g., atmospheric absorption [17,20,[33][34][35][36][37][38]. Since our laboratory data are collected from a short distance and perpendicular to the general sample surface, this represents the target reflectivity [27].…”
Section: Comparison With Laboratory Resultsmentioning
confidence: 99%
“…Although the quality of LiDAR data depends on the point density, which is influenced by several factors of acquisition settings [15,16], LiDAR data can generate raster data with its finest ground sampling distance (GSD). For instance, the point density of 8 points/m 2 (e.g., in [17]) is equivalent to a GSD of ±0.3 m.…”
Section: Introductionmentioning
confidence: 99%
“…Light detection and ranging (LiDAR) sensors can generate highresolution three-dimensional (3D) coordinates of objects. Height information (that is Z values) can be used to characterize the topography of an area (Wu et al, 2021). The Chengbei Gully is not a large-scale area; therefore, a high-resolution digital elevation model (DEM) is important for subsequent simulations.…”
Section: Remote Sensing Datamentioning
confidence: 99%