Results 61 to 70 of about 57,543 (231)
Cutting Through the Green: A Case for Grassland Archaeology Using UAV Multispectral Data
ABSTRACT Advances in low‐altitude remote sensing are needed to improve the effectiveness of archaeological prospection in the Netherlands. The geomorphological situation and land use history make applying various remote sensing and geophysical technologies particularly challenging.
Roeland Emaus
wiley +1 more source
Editorial for Special Issue “Hyperspectral Imaging and Applications”
Due to advent of sensor technology, hyperspectral imaging has become an emerging technology in remote sensing. Many problems, which cannot be resolved by multispectral imaging, can now be solved by hyperspectral imaging.
Chein-I Chang +3 more
doaj +1 more source
Remote Sensing Performance Enhancement in Hyperspectral Images [PDF]
Hyperspectral images with hundreds of spectral bands have been proven to yield high performance in material classification. However, despite intensive advancement in hardware, the spatial resolution is still somewhat low, as compared to that of color and multispectral (MS) imagers. In this paper, we aim at presenting some ideas that may further enhance
openaire +3 more sources
Desertification Risk: Bibliometric Analysis and Future Research Directions
ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam +5 more
wiley +1 more source
A review on application of hyperspectral imaging to forest resources in Malaysia [PDF]
Remote sensing application of hyperspectral imaging is relatively new to Malaysian forestry. Through a wide range of wavelengths of hyperspectral data, precise and narrow bands of spectra are captured.
Ismail, Mohd Hasmadi +4 more
core
Machine learning regression on hyperspectral data to estimate multiple water parameters
In this paper, we present a regression framework involving several machine learning models to estimate water parameters based on hyperspectral data. Measurements from a multi-sensor field campaign, conducted on the River Elbe, Germany, represent the ...
Keller, Sina, Maier, Philipp M.
core +1 more source
Abstract Cyanobacterial and other algal blooms are an environmental concern in waterbodies worldwide. While these blooms are a nuisance for recreational activities, they can also be harmful to human and wildlife health when the algae produce and release toxins.
Natalie C. Hall +7 more
wiley +1 more source
Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection
Anomaly detection is susceptible to complex background and interference noise. Local anomaly detection and collaborative representation detection can effectively suppress background.
Meiping Song +5 more
doaj +1 more source
The types of marine oil spill pollution are closely related to source tracing and pollution disposal, which is an important basis for oil spill pollution punishment.
Junfang Yang +11 more
doaj +1 more source
Uncertainty assessment for a novel optically shallow water radiometric acquisition platform
Abstract We present a novel motorized platform, a custom‐built jet‐ski designed for acoustic and radiometric measurements in optically shallow coastal waters. This platform integrates in‐water radiometers with single‐beam and multi‐beam acoustic sensors, along with a suite of active and passive instruments (conductivity‐temperature‐depth, fluorescence,
Raphaël Mabit +2 more
wiley +1 more source

