Results 11 to 20 of about 2,030,943 (157)

Learning the Link between Albedo and Reflectance: Machine Learning-Based Prediction of Hyperspectral Bands from CTX Images

open access: yesRemote Sensing, 2022
The instruments of the Mars Reconnaissance Orbiter (MRO) provide a large quantity and variety of imagining data for investigations of the Martian surface.
Sergej Stepcenkov   +2 more
doaj   +1 more source

SPECTRAL UNMIXING BASED CONSTRUCTION OF LUNAR MINERAL ABUNDANCE MAPS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
In this study we apply a nonlinear spectral unmixing algorithm to a nearly global lunar spectral reflectance mosaic derived from hyper-spectral image data acquired by the Moon Mineralogy Mapper (M3) instrument.
V. Bernhardt, A. Grumpe, C. Wöhler
doaj   +1 more source

Advanced Medical Image Analysis [PDF]

open access: yesComputational and Mathematical Methods in Medicine, 2014
Medical image analysis is performed in order to facilitate medical research and ultimately provide better healthcare. It is critical to the advancement of imaging-based medical research, for example, using magnetic resonance (MR) imaging to probe brain structural and functional changes related to a disease or cognitive process.
Rong Chen, Zhongqiu Wang, Yuanjie Zheng
openaire   +2 more sources

The role of advanced MRI in the development of treat-to-target therapeutic strategies, patient stratification and phenotyping in rheumatoid arthritis

open access: yesBMC Rheumatology, 2020
In this commentary, we discuss the potential of advanced imaging, particularly Dynamic Contrast Enhanced (DCE) magnetic resonance imaging (MRI) for the objective assessment of the inflammatory process in rheumatoid arthritis (RA).
Ali Mobasheri   +3 more
doaj   +1 more source

Angiographic Image Analysis [PDF]

open access: yes, 2011
In the last 20 years, progress in 3D medical imaging (such as MRI and CT) has led to the development of modalities devoted to visualise vascular structures. These angiographic images progressively proved their usefulness in the context of various clinical applications. However, such data are generally complex to analyse due to their size and low amount
Tankyevych, Olena   +4 more
openaire   +3 more sources

Oblique view individual tree crown delineation

open access: yesInternational Journal of Applied Earth Observations and Geoinformation, 2021
Individual tree crown (ITC) segmentation supports numerous applications in forest management and ecology. In the latter context, special attention is dedicated to the study of angular reflection effects, caused by the interaction of incident sunlight ...
Christian Kempf   +5 more
doaj   +1 more source

Morphological Image Analysis [PDF]

open access: yes, 2001
We describe a morphological image analysis method to characterize images in terms of geometry and topology. We present a method to compute the morphological properties of the objects building up the image and apply the method to triply periodic minimal surfaces and to images taken from polymer chemistry.
Michielsen, K, De Raedt, H, Kawakatsu, T
openaire   +2 more sources

Validation of aerosol estimation in atmospheric correction algorithm ATCOR [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Atmospheric correction of satellite images is necessary for many applications of remote sensing, i.e. computation of vegetation indices and biomass estimation. The first step in atmospheric correction is estimation of the actual aerosol properties.
B. Pflug   +3 more
doaj   +1 more source

Comparative Study for Patch-Level and Pixel-Level Segmentation of Deep Learning Methods on Transparent Images of Environmental Microorganisms: From Convolutional Neural Networks to Visual Transformers

open access: yesApplied Sciences, 2022
Currently, the field of transparent image analysis has gradually become a hot topic. However, traditional analysis methods are accompanied by large amounts of carbon emissions, and consumes significant manpower and material resources.
Hechen Yang   +9 more
doaj   +1 more source

Cervical Histopathology Image Classification Using Multilayer Hidden Conditional Random Fields and Weakly Supervised Learning

open access: yesIEEE Access, 2019
In this paper, a novel multilayer hidden conditional random fields (MHCRFs)-based cervical histopathology image classification (CHIC) model is proposed to classify well, moderate and poorly differentiation stages of cervical cancer using a weakly ...
Chen Li   +7 more
doaj   +1 more source

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