An Integrated Method for Mapping Impervious and Pervious Areas in Urban Environments Using Hyperspectral and LiDAR Data
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
An Integrated Method for Mapping Impervious and Pervious Areas in Urban Environments Using Hyperspectral and LiDAR Data ; volume:II-2 ; year:2014 ; pages:87-91
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; II-2 (2014), 87-91
- Urheber
-
Hashemi Beni, L.
McArdle, S.
Khayer, Y.
- DOI
-
10.5194/isprsannals-II-2-87-2014
- URN
-
urn:nbn:de:101:1-2017112214614
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Hashemi Beni, L.
- McArdle, S.
- Khayer, Y.
Ähnliche Objekte (12)
Nitrogen concentration estimation with hyperspectral LiDAR
Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest
A Progress Review on Solid‐State LiDAR and Nanophotonics‐Based LiDAR Sensors
Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar
Leveraging Citizen Science, LiDAR, and Machine Learning for Snow Depth Estimation in Complex Terrain Environments
PIXEL-BASED LAND COVER CLASSIFICATION BY FUSING HYPERSPECTRAL AND LIDAR DATA
Fusion of hyperspectral and lidar data based on dimension reduction and maximum likelihood
A DIMENSION REDUCTION-BASED METHOD FOR CLASSIFICATION OF HYPERSPECTRAL AND LIDAR DATA
Curvature Scale Space LiDAR Odometry And Mapping (LOAM)
3D LiDAR Odometry and Mapping Leveraging Prior Knowledge
LiDAR odometry survey: recent advancements and remaining challenges
Mapping aboveground biomass and its prediction uncertainty using LiDAR and field data, accounting for tree-level allometric and LiDAR model errors
Nitrogen concentration estimation with hyperspectral LiDAR
Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest
A Progress Review on Solid‐State LiDAR and Nanophotonics‐Based LiDAR Sensors
Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar
Leveraging Citizen Science, LiDAR, and Machine Learning for Snow Depth Estimation in Complex Terrain Environments
PIXEL-BASED LAND COVER CLASSIFICATION BY FUSING HYPERSPECTRAL AND LIDAR DATA
Fusion of hyperspectral and lidar data based on dimension reduction and maximum likelihood
A DIMENSION REDUCTION-BASED METHOD FOR CLASSIFICATION OF HYPERSPECTRAL AND LIDAR DATA
Curvature Scale Space LiDAR Odometry And Mapping (LOAM)
3D LiDAR Odometry and Mapping Leveraging Prior Knowledge
LiDAR odometry survey: recent advancements and remaining challenges
Mapping aboveground biomass and its prediction uncertainty using LiDAR and field data, accounting for tree-level allometric and LiDAR model errors
Nitrogen concentration estimation with hyperspectral LiDAR
Mapping individual silver fir trees using hyperspectral and LiDAR data in a Central European mixed forest
A Progress Review on Solid‐State LiDAR and Nanophotonics‐Based LiDAR Sensors
Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar
Leveraging Citizen Science, LiDAR, and Machine Learning for Snow Depth Estimation in Complex Terrain Environments
PIXEL-BASED LAND COVER CLASSIFICATION BY FUSING HYPERSPECTRAL AND LIDAR DATA
Fusion of hyperspectral and lidar data based on dimension reduction and maximum likelihood
A DIMENSION REDUCTION-BASED METHOD FOR CLASSIFICATION OF HYPERSPECTRAL AND LIDAR DATA
Curvature Scale Space LiDAR Odometry And Mapping (LOAM)
3D LiDAR Odometry and Mapping Leveraging Prior Knowledge
LiDAR odometry survey: recent advancements and remaining challenges