A modified version of the kernel-driven model for correcting the diffuse light of ground multi-angular measurements
Sign Up to like & getrecommendations! Published in 2018 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2018.03.030
Abstract: Abstract When using the kernel-driven bidirectional reflectance distribution function (BRDF) model to process multi-angular measurements, the input multi-angular measurements must be corrected for atmospheric effects. However, in current databases, a significant number of ground-based multi-angular… read more here.
Keywords: angular measurements; reflectance; multi angular; driven model ... See more keywords
Evaluation of Four Kernel-Driven Models in the Thermal Infrared Band
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2899600
Abstract: Many physical models have been proposed to simulate the directional anisotropy in the thermal infrared (TIR) region over vegetation canopies to produce angular corrected directional brightness temperature or land surface temperature. However, too many input… read more here.
Keywords: models thermal; kernel driven; thermal infrared; four kernel ... See more keywords
Assessment of the Hotspot Effect for the PROSAIL Model With POLDER Hotspot Observations Based on the Hotspot-Enhanced Kernel-Driven BRDF Model
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2917923
Abstract: The hotspot effect is a typical angular reflectance signature of vegetation canopies and contains important information for the retrieval of vegetation structural parameters. To date, the hotspot effect of various analytical bidirectional reflectance distribution function… read more here.
Keywords: prosail model; hotspot effect; hotspot; kernel driven ... See more keywords
An Improved Topography-Coupled Kernel-Driven Model for Land Surface Anisotropic Reflectance
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2956705
Abstract: The semiempirical kernel-driven model is commonly used for global surface reflectance characterization because of its simplicity and underlying physical meaning. However, the current kernel-driven reflectance models assume that the terrain is flat and homogeneous, and… read more here.
Keywords: surface; tckd model; topography; model ... See more keywords
Extending a Linear Kernel-Driven BRDF Model to Realistically Simulate Reflectance Anisotropy Over Rugged Terrain
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3064018
Abstract: Bidirectional reflectance distribution function (BRDF) models are used to correct surface bidirectional effects and estimate land surface albedo. Many operational BRDF/albedo algorithms adopt a Roujean linear kernel-driven BRDF (RLKB) model because of its simple form… read more here.
Keywords: rugged terrain; kernel driven; driven brdf; model ... See more keywords
Multiple Kernel Driven Clustering With Locally Consistent and Selfish Graph in Industrial IoT
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2020.3010357
Abstract: In the cognitive computing of intelligent industrial Internet of Things, clustering is a fundamental machine learning problem to exploit the latent data relationships. To overcome the challenge of kernel choice for nonlinear clustering tasks, multiple… read more here.
Keywords: driven clustering; multiple kernel; kernel driven; locally consistent ... See more keywords