Results 21 to 30 of about 2,046 (182)
DETERMINATION OF OPTIMUM CLASSIFICATION SYSTEM FOR HYPERSPECTRAL IMAGERY AND LIDAR DATA BASED ON BEES ALGORITHM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Hyperspectral imagery is a rich source of spectral information and plays very important role in discrimination of similar land-cover classes. In the past, several efforts have been investigated for improvement of hyperspectral imagery classification ...
F. Samadzadega, H. Hasani
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Drones, 2023 Unmanned aerial vehicles (UAVs), also known as drones, are a cost-effective alternative to traditional surveying methods, and they can be used to collect geospatial data over inaccessible or hard-to-reach locations.
Junhwa Chi +6 more
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AI-DRIVEN MAIZE YIELD FORECASTING USING UNMANNED AERIAL VEHICLE-BASED HYPERSPECTRAL AND LIDAR DATA FUSION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 The increased availability of remote sensing data combined with the wide-ranging applicability of artificial intelligence has enabled agriculture stakeholders to monitor changes in crops and their environment frequently and accurately.
K. Dilmurat +4 more
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PIXEL-BASED LAND COVER CLASSIFICATION BY FUSING HYPERSPECTRAL AND LIDAR DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Land cover classification has many applications like forest management, urban planning, land use change identification and environment change analysis. The passive sensing of hyperspectral systems can be effective in describing the phenomenology of the ...
F. Jahan, M. Awrangjeb
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International Journal of Applied Earth Observations and Geoinformation, 2022 Leaf chlorophyll plays an important role in forest management and ecosystem balance. Hyperspectral images have been widely applied in leaf chlorophyll content (LCC) estimation.
Lu Xu +7 more
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Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data
Remote Sensing, 2022 The pre-harvest estimation of seed composition from standing crops is imperative for field management practices and plant phenotyping. This paper presents for the first time the potential of Unmanned Aerial Vehicles (UAV)-based high-resolution ...
Kamila Dilmurat +4 more
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CatLC: Catalonia Multiresolution Land Cover Dataset
Scientific Data, 2022 Measurement(s) RGB orthophoto image • Infrared orthophoto image • Radar backscattering • Hyperspectral image • Topographic measurements • Landcover classification Technology Type(s) Airborne camera • Satellite SAR sensor • Satellite hyperspectral sensor •
Carlos García +3 more
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Feature-Decision Level Collaborative Fusion Network for Hyperspectral and LiDAR Classification
Remote Sensing, 2023 The fusion-based classification of hyperspectral (HS) and light detection and ranging (LiDAR) images has become a prominent research topic, as their complementary information can effectively improve classification performance.
Shenfu Zhang +4 more
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Classification of Hyperspectral and LiDAR Data Using Coupled CNNs [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2020 In this paper, we propose an efficient and effective framework to fuse hyperspectral and Light Detection And Ranging (LiDAR) data using two coupled convolutional neural networks (CNNs). One CNN is designed to learn spectral-spatial features from hyperspectral data, and the other one is used to capture the elevation information from LiDAR data.
Renlong Hang +5 more
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Supercontinuum-based hyperspectral LiDAR for precision laser scanning
Optics Express, 2023 Hyperspectral LiDAR enables non-contact mapping of the 3D surface geometry of an object along with its spectral reflectance signature and has proved to be effective for automated point cloud segmentation in various remote sensing applications.
Pabitro Ray +3 more
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