Results 81 to 90 of about 558,332 (197)
Crop type mapping using LiDAR, Sentinel-2 and aerial imagery with machine learning algorithms
LiDAR data are becoming increasingly available, which has opened up many new applications. One such application is crop type mapping. Accurate crop type maps are critical for monitoring water use, estimating harvests and in precision agriculture.
A. Prins, A. Niekerk
semanticscholar +1 more source
We test the ability of Very High Resolution satellite (VHR) imagery to detect stranded whales using both manual and automated methods. We use the 2015 mass mortality event in the Gulf of Penas locality, central Patagonia, Chile, as an initial case study.
Peter T Fretwell +6 more
doaj +1 more source
European legislation is driving the development of methods for river ecosystem protection in light of concerns over water quality and ecology. Key to their success is the accurate and rapid characterisation of physical features (i.e., hydromorphology ...
Monica Rivas Casado +3 more
doaj +1 more source
Multimodal image fusion for enhanced vehicle identification in intelligent transport [PDF]
Target detection in remote sensing is essential for applications such as law enforcement, military surveillance, and search-and-rescue. With advancements in computational power, deep learning methods have excelled in processing unimodal aerial imagery ...
Naif Al Mudawi +6 more
doaj +2 more sources
The Cumberland Sound beluga whale (Delphinapterus leucas) population inhabits Cumberland Sound on the southeast side of Baffin Island, Nunavut. The population is listed as threatened under the Species at Risk Act.
Bryanna A. H. Sherbo +5 more
doaj +1 more source
Automatic aerial target recognition on infrared imagery
With the help of advances in imaging technologies, cameras working at different spectral bands started to be used in a wide area of applications including industrial, civil and military fields to provide novel solutions. Infrared imaging becomes one of the examples of such novel technologies, due to the fact that infrared images and visual images have ...
Toker, Kemal Gurkan +2 more
openaire +2 more sources
A quick-scan method to assess photovoltaic rooftop potential based on aerial imagery and LiDAR
A quick-scan yield prediction method has been developed to assess rooftop photovoltaic (PV) potential. The method has three main parts. For each roof, first (i) virtual 3D roof segments were reconstructed using aerial imagery, then, (ii) PV modules were ...
Tim N.C. de Vries +7 more
semanticscholar +1 more source
The Prairie Pothole Region of North America is characterized by millions of depressional wetlands, which provide critical habitats for globally significant populations of migratory waterfowl and other wildlife species.
Qiusheng Wu +8 more
semanticscholar +1 more source
In recent years, demand has been increasing for target detection and tracking from aerial imagery via drones using onboard powered sensors and devices. We propose a very effective method for this application based on a deep learning framework. A state-of-
Sabir Hossain, D. Lee
semanticscholar +1 more source
In this paper, a primitive-based 3D building roof modeling method, by integrating LiDAR data and aerial imagery, is proposed. The novelty of the proposed modeling method is to represent building roofs by geometric primitives and to construct a cost ...
Wuming Zhang +4 more
doaj +1 more source

