Results 31 to 40 of about 7,830 (229)
VEGETATION MAPPING OF A COASTAL DUNE COMPLEX USING MULTISPECTRAL IMAGERY ACQUIRED FROM AN UNMANNED AERIAL SYSTEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Vegetation mapping, identifying the distribution of plant species, is important for analysing vegetation dynamics, quantifying spatial patterns of vegetation evolution, analysing the effects of environment changes on vegetation, and predicting spatial ...
C. Suo, E. McGovern, A. Gilmer
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智慧农业, 2021 The digital elevation model (DEM) of maize population in field was constructed by using optical imaging equipment mounted on unmanned aerial vehicle (UAV) to study the accuracy difference of maize population height monitoring at different growth stages ...
YANG Jin +8 more
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International Journal of Applied Earth Observations and Geoinformation, 2021 Automatically registration of unmanned aerial vehicle (UAV) multispectral images is fundamental for subsequent applications. Although many studies exist for visible camera images and satellite multispectral image registration, studies for UAV are still ...
Lingxuan Meng +6 more
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Journal of Conservation and Museum Studies, 2015 Multispectral imaging systems are used in art examinations to map and identify pigments, binders and areas of retouching. A monochromatic camera is combined with an appropriate wavelength selection system and acquires a variable ...
Antonino Cosentino
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Discrimination between Sedimentary Rocks from Close-Range Visible and Very-Near-Infrared Images. [PDF]
PLoS ONE, 2015 Variation in the mineral composition of rocks results in a change of their spectral response capable of being studied by imaging spectroscopy. This paper proposes the use of a low-cost handy sensor, a calibrated visible-very near infrared (VIS-VNIR ...
Susana Del Pozo +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 In this article, a multichannel convolutional neural network (CNN) based object detection was used to detect suspected trees of pine wilt disease after acquiring aerial photographs through a rotorcraft drone equipped with a multispectral camera.
Hae Gwang Park +3 more
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Novel accuracy test for multispectral imaging systems based on ΔE measurements
Journal of the European Optical Society-Rapid Publications, 2018 In the printing industry, multispectral line scan cameras are being applied with increasing frequency in print inspection. This field of application requires highly accurate camera systems. In this article, we describe a novel approach to determining the
Marcel Dierl +5 more
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Advanced Materials Technologies, EarlyView.This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
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Fusion of Multispectral Imagery and Spectrometer Data in UAV Remote Sensing
Remote Sensing, 2017 : High spatial resolution hyperspectral data often used in precision farming applications are not available from current satellite sensors, and difficult or expensive to acquire from standard aircraft. Alternatively, in precision farming, unmanned aerial
Chuiqing Zeng +3 more
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Neural Network Generalization: The Impact of Camera Parameters
IEEE Access, 2020 We quantify the generalization of a convolutional neural network (CNN) trained to identify cars. First, we perform a series of experiments to train the network using one image dataset - either synthetic or from a camera - and then test on a different ...
Zhenyi Liu +3 more
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