Výsledky vyhledávání - "R A, Stockwell"

Density Weighted Connectivity of Grass Pixels in image frames for biomass estimation

Autor: Sujan Chowdhury, David R. B. Stockwell, Ligang Zhang, Brijesh Verma

Publikováno v: Expert Systems with Applications. 101:213-227

Accurate estimation of the biomass of roadside grasses plays a significant role in applications such as fire-prone region identification. Current solutions heavily depend on field surveys, remote sensing measurements and image processing using refere

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08646dedfbc809ff57c59c5d84354421
https://doi.org/10.1016/j.eswa.2018.01.055

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Unexpected climatological behavior of MLT gravity wave momentum flux in the lee of the Southern Andes hot spot

Autor: R. G. Stockwell, D. C. Fritts, R. J. de Wit, Diego Janches, Lawrence Coy

Publikováno v: Geophysical Research Letters. 44:1182-1191

The Southern Argentina Agile MEteor Radar (SAAMER), located at Tierra del Fuego (53.7degS, 67.7degW), has been providing near-continuous high-resolution measurements of winds and high-frequency gravity wave (GW) momentum fluxes of the mesopause regio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e5d0f3a1e0ce516bfbdcbb8215ac8bf0
https://doi.org/10.1002/2016gl072311

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Meteoric smoke and H 2 SO 4 aerosols in the upper stratosphere and mesosphere

Autor: Michael J. Mills, R. G. Stockwell, Charles G. Bardeen, Mark E. Hervig, David E. Siskind

Publikováno v: Geophysical Research Letters. 44:1150-1157

Meteoric smoke has traditionally been understood as a passive tracer which follows the global mesospheric circulation. Smoke extinction measured by the Solar Occultation For Ice Experiment, however, shows that while this is true in the middle to uppe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7f25d52009be8f64b947458e62cb6a10
https://doi.org/10.1002/2016gl072049

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Spatial contextual superpixel model for natural roadside vegetation classification

Autor: Ligang Zhang, David R. B. Stockwell, Brijesh Verma

Publikováno v: Pattern Recognition. 60:444-457

In this paper, we present a novel Spatial Contextual Superpixel Model (SCSM) for vegetation classification in natural roadside images. The SCSM accomplishes the goal by transforming the classification task from a pixel into a superpixel domain for mo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0a3526f7aec9622000d451010b80f0b
https://doi.org/10.1016/j.patcog.2016.05.013

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Mid-latitude mesospheric clouds and their environment from SOFIE observations

Autor: Michael H. Stevens, Mark E. Hervig, James M. Russell, Gunter Stober, Scott M. Bailey, R. G. Stockwell, Michael Gerding

Publikováno v: Journal of Atmospheric and Solar-Terrestrial Physics. 149:1-14

Observations from the Solar Occultation For Ice Experiment (SOFIE) on the Aeronomy of Ice in the Mesosphere (AIM) satellite are used to examine noctilucent clouds (NLC) and their environment at middle latitudes (~56°N and ~52°S). Because SOFIE is u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::578a9d6295a69d59c62bebab0c7a5a7b
https://doi.org/10.1016/j.jastp.2016.09.004

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Spatially Constrained Location Prior for Scene Parsing

Autor: Brijesh Verma, Sujan Chowdhury, David R. B. Stockwell, Ligang Zhang

Publikováno v: IJCNN

Semantic context is an important and useful cue for scene parsing in complicated natural images with a substantial amount of variations in objects and the environment. This paper proposes Spatially Constrained Location Prior (SCLP) for effective mode

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ad8a105fb40073b3bacfc04319b6298
http://arxiv.org/abs/1802.08790

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A novel texture feature based multiple classifier technique for roadside vegetation classification

Autor: David R. B. Stockwell, Sujan Chowdhury, Brijesh Verma

Publikováno v: Expert Systems with Applications. 42:5047-5055

Proposed technique use LBP based GLCM feature vector and multiple classifiers.We achieve over 92% accuracy for vegetation classification.Extensive experiments use 5-fold cross validation.The experiments were conducted on dense and sparse grasses.In f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8b6a1b1e85591f8bad07a1c49b3bdea3
https://doi.org/10.1016/j.eswa.2015.02.047

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Segmentation of Geophysical Data: A Big Data Friendly Approach

Autor: David R. B. Stockwell, Brijesh Verma, Ligang Zhang

Publikováno v: INNS Conference on Big Data

A new scalable segmentation algorithm is proposed in this paper for the forensic determination of level shifts in geophysical time series. While a number of segmentation algorithms exist, they are generally not ‘big data friendly’ due either to q

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bd239d0b7960197285c307d7fca7a1b

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Deep Learning Techniques for Roadside Video Data Analysis

Autor: Brijesh Verma, Ligang Zhang, David R. B. Stockwell

Publikováno v: Roadside Video Data Analysis ISBN: 9789811045387

In this chapter, we describe traditional non-deep learning approaches that are used for roadside video data analysis. Each type of these learning approaches is described separately in each section, which primarily focuses on related prior work, techn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2a54ac634c0228d41ceb40901514c6f2
https://doi.org/10.1007/978-981-10-4539-4_4

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