Results 31 to 40 of about 11,780,635 (338)
Remote Sensing, 2020 In precision agriculture, the development of proximal imaging systems embedded in autonomous vehicles allows to explore new weed management strategies for site-specific plant application.
Christelle Gée, Emmanuel Denimal
doaj +1 more source
Remote Sensing, 2021 An improved semantic segmentation method based on object contextual representations network (OCRNet) is proposed to accurately identify zucchinis intercropped with sunflowers from unmanned aerial vehicle (UAV) visible images taken over Hetao Irrigation ...
Shen-Jin Huang +4 more
semanticscholar +1 more source
A contrast-sensitive reversible visible image watermarking technique [PDF]
, 2009 A reversible (also called lossless, distortion-free, or invertible) visible watermarking scheme is proposed to satisfy the applications, in which the visible watermark is expected to combat copyright piracy but can be removed to losslessly recover the ...
Xiao, R. (Rong) +4 more
core +1 more source
Visibility of noise in natural images [PDF]
SPIE Proceedings, 2004 The degree of visibility of any kind of stimulus is largely determined by the background on which it is shown, a property commonly known as masking. Many psychophysical experiments have been carried out to date to understand masking of sinusoids or Gabor targets by similar maskers and by noise, and a variety of masking models have been proposed ...
Stefan Winkler 0001, Sabine Süsstrunk
openaire +1 more source
Data in Brief, 2020 This article presents a dataset of thermal and visible aerial images of the same flat scene at Melendez campus of Universidad del Valle, Cali, Colombia. The images were acquired using an UAV equipped with either a thermal or a visible camera. The dataset
Lina M. García-Moreno +3 more
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PLoS ONE, 2021 Aiming at the situation that the existing visible and infrared images fusion algorithms only focus on highlighting infrared targets and neglect the performance of image details, and cannot take into account the characteristics of infrared and visible ...
Hui Huang +4 more
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Deep Learning-Based Plant Classification Using Nonaligned Thermal and Visible Light Images
Mathematics, 2022 There have been various studies conducted on plant images. Machine learning algorithms are usually used in visible light image-based studies, whereas, in thermal image-based studies, acquired thermal images tend to be analyzed with a naked eye visual ...
Ganbayar Batchuluun +2 more
doaj +1 more source
Entropy, 2021 This paper proposes a new generative adversarial network for infrared and visible image fusion based on semantic segmentation (SSGAN), which can consider not only the low-level features of infrared and visible images, but also the high-level semantic ...
Jilei Hou +4 more
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Remote Sensing, 2020 A rapid and precise large-scale agricultural disaster survey is a basis for agricultural disaster relief and insurance but is labor-intensive and time-consuming.
Ming-Der Yang +3 more
semanticscholar +1 more source
Multispectral images of peach related to firmness and maturity at harvest [PDF]
, 2009 wo multispectral maturity classifications for red soft-flesh peaches (‘Kingcrest’, ‘Rubyrich’ and ‘Richlady’ n = 260) are proposed and compared based on R (red) and R/IR (red divided by infrared) images obtained with a three CCD camera (800 nm, 675 nm ...
P. Barreiro +7 more
core +1 more source