Výsledky vyhledávání - "Digitization and image capture"

A Structure From Motion Pipeline for Orthographic Multi-View Images

Autor: Neumann, Kai, Hoffmann, Philipp P., Buelow, Max Von, Knauthe, Volker, Wirth, Tristan, Kontermann, Christian, Kuijper, Arjan, Guthe, Stefan, Fellner, Dieter

Publikováno v: 2022 IEEE International Conference on Image Processing (ICIP).

Structure from Motion (SfM) plays a crucial role in unstructured capturing. While images are usually taken by perspective cameras, orthographic camera projections do not suffer from the foreshortening effect, that leads to varying capturing quality i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::551f1317de8e66f3a164f164b3cec40e
https://doi.org/10.1109/icip46576.2022.9897368

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Exploring structured scripting cartographic technique of GMT for ocean seafloor modeling: A case of the East Indian Ocean

Autor: Polina Lemenkova

Publikováno v: Maritime Technology and Research
Maritime Technology and Research, 2021, 3 (2), pp.162-184. ⟨10.33175/mtr.2021.248158⟩

International audience; This paper examines spatial variations in the geomorphology of the Ninety East Ridge (NER), located in the Indian Ocean. The NER is an extraordinary long linear bathymetric feature with topography reflecting complex geophysica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d2c4aa5486021dce1de2a187157bbd2
https://doi.org/10.33175/mtr.2021.248158

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Distance-based vegetation indices computed by SAGA GIS: A comparison of the perpendicular and transformed soil adjusted approaches for the LANDSAT TM image

Autor: Polina Lemenkova

Publikováno v: Poljoprivredna Tehnika
Poljoprivredna Tehnika, University of Belgrade, Faculty of Agriculture, 2021, 46 (3), pp.49-60. ⟨10.5937/PoljTeh2103049L⟩

International audience; Landsat-TM of 2001 covering Iceland (15.5°W-21°W, 64.5°N-67°N) was processed using SAGA GIS for testing distance-based Vegetation Indices (VIs): four approaches of Perpendicular Vegetation Index (PVI) and two approaches of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1db6d1de130b7f0e91ffb6695ad1be2b
https://doi.org/10.5937/poljteh2103049l

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Sentinel-2 for High Resolution Mapping of Slope-Based Vegetation Indices Using Machine Learning By SAGA GIS

Autor: Lemenkova, Polina

Publikováno v: Transylvanian Review of Systematical and Ecological Research
Transylvanian Review of Systematical and Ecological Research, 2020, 22 (3), pp.17-34. ⟨10.2478/trser-2020-0015⟩
Transylvanian Review of Systematical and Ecological Research, Vol 22, Iss 3, Pp 17-34 (2020)

Vegetation of Cameroon includes a variety of landscape types with high biodiversity. Ecological monitoring of Yaoundé requires visualization of vegetation types in context of climate change. Vegetation Indices (VIs) derived from Sentinel-2 multispec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::738783e9875137122c074c9908f907c5
https://doi.org/10.2478/trser-2020-0015

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Dataset compilation by GRASS GIS for thematic mapping of Antarctica: Topographic surface, ice thickness, subglacial bed elevation and sediment thickness

Autor: Polina Lemenkova

Publikováno v: Czech Polar Reports
Czech Polar Reports, MUNI Press, 2021, 11, pp.67-85. ⟨10.5817/cpr2021-1-6⟩

International audience; This paper presents the GRASS GIS-based thematic mapping of Antarctica using scripting approach and associated datasets on topography and geophysics. The state-ofthe art in cartographic development points at two important aspe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8aa1473063f6ece07a64f57018e151d
https://hal.archives-ouvertes.fr/hal-03327151

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Insights baseados em dados sobre a correlação entre configuração geofísica, topografia e sedimentos do fundo do mar no Mar de Ross, Antártica

Autor: Polina Lemenkova

Publikováno v: Caderno de Geografia
Caderno de Geografia, 2021, 31 (64), pp.1-20. ⟨10.5752/p.2318-2962.2021v31n64p1⟩

International audience; Detailed mapping based on the high-resolution grids, such as GEBCO, ETOPO1, GlobSed, EGM-2008 is crucial for various domains of Earth sciences: geophysics, glaciology, Quaternary, sedimentology, geology, environmental science,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ac7f5043e295d2edfb057e39de97e04
https://hal.archives-ouvertes.fr/hal-03140484

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Data-driven insights into correlation among geophysical setting, topography and seafloor sediments in the Ross Sea, Antarctic

Autor: Lemenkova, Polina

Publikováno v: Caderno de Geografia
Caderno de Geografia, 2021, 31 (64), pp.1-20. ⟨10.5752/p.2318-2962.2021v31n64p1⟩

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::9a2f6039eab1bfc193ef2453bb9a628d
https://hal.archives-ouvertes.fr/hal-03140484

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Java and Sumatra Segments of the Sunda Trench: Geomorphology and Geophysical Settings Analysed and Visualized by GMT

Autor: Lemenkova, Polina

Publikováno v: Glasnik Srpskog Geografskog Drustva
Glasnik Srpskog Geografskog Drustva, 2021, 100 (2), pp.1-23. ⟨10.2298/GSGD2002001L⟩
Glasnik Srpskog Geografskog Društva, Vol 100, Iss 2, Pp 1-23 (2020)

International audience; The paper discusses the geomorphology of the Sunda Trench, an oceanic trench located in the eastern Indian Ocean along the Sumatra and Java Islands of the Indonesian archipelago. It analysis difference in depths and variation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f7dc2546a0c3b2c5c6d91e02a2e9c03
https://hal.archives-ouvertes.fr/hal-03093633/file/723-1017-1-PB.pdf

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Hyperspectral Vegetation Indices Calculated by Qgis Using Landsat Tm Image: a Case Study of Northern Iceland

Autor: Polina Lemenkova

Publikováno v: Advanced Research in Life Sciences
Advanced Research in Life Sciences, Sciendo, 2020, 4 (1), pp.70-78. ⟨10.2478/arls-2020-0021⟩

The vegetation indices (VIs) derived from the hyperspectral reflectance of vegetation are presented in this study for monitoring live green vegetation in the northern ecosystems of Iceland, along the fjords of Eyjafjörđur and the Skagafjörđur. Th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01a9024fd117767978c17b6c4af961f8
https://zenodo.org/record/4297179

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SAGA GIS for information extraction on presence and conditions of vegetation of northern coast of Iceland based on the Landsat TM

Autor: Polina Lemenkova

Publikováno v: Acta Biologica Marisiensis
Acta Biologica Marisiensis, 2020, 3 (2), pp.10-21. ⟨10.2478/abmj-2020-0007⟩

The paper aims to evaluate the presence and condition of vegetation by SAGA GIS. The study area covers northern coasts of Iceland including two fjords, the Eyjafjörður and the Skagafjörður, prosperous agricultural regions. The vegetation coverage

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f21705be644329d512bb28e558a0132
https://zenodo.org/record/4198935

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