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Signal classification of submerged aquatic vegetation based on the hemispherical-conical reflectance factor spectrum shape in the yellow and red regions
(2013-04-01)
The water column overlying the submerged aquatic vegetation (SAV) canopy presents difficulties when using remote sensing images for mapping such vegetation. Inherent and apparent water optical properties and its optically ...
Signal classification of submerged aquatic vegetation based on the hemispherical-conical reflectance factor spectrum shape in the yellow and red regions
(2013-04-01)
The water column overlying the submerged aquatic vegetation (SAV) canopy presents difficulties when using remote sensing images for mapping such vegetation. Inherent and apparent water optical properties and its optically ...
Rock lithological classification by hyperspectral, range 3D and color images
(Elsevier B.V., 2019)
Mine operations in the future will require automatic rock characterization at many different stages, since it can be used to supervise and optimize various processes in the laboratory as well as at the mine locations for ...
Automatic near-infrared hyperspectral image analysis of copper concentrates
(2019)
The reflection of light on mineral samples have been widely used to obtain information concerning their composition. In particular, visible and near-infrared reflectance spectrum have offered an inexpensive way to obtain ...
Shadow detection in hyperspectral images acquired by uav
(2019-06-04)
Shadows are common in any kind of remote sensing images. Unmanned Aerial Vehicle – UAV with a light camera attached can acquire images illuminated either by direct sunlight or by diffuse light under clouds. Indeed, ...