Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Alexey Trekin"'
Autor:
Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan Oseledets
Publikováno v:
IEEE Access, Vol 10, Pp 34116-34132 (2022)
The canopy height model (CHM) is a representation of the height of the top of vegetation from the surrounding ground level. It is crucial for the extraction of various forest characteristics, for instance, timber stock estimations and forest growth m
Externí odkaz:
https://doaj.org/article/c779051698754cb8868813da459b1ffb
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1810-1820 (2021)
Among different forest inventory problems, one of the most basic is defining dominant species. These data are crucial in forest management to determine forest category, and a cheaper remote sensing-based approach would be a useful supplement to field
Externí odkaz:
https://doaj.org/article/37cae44af26f4ed6b3be683016add6bd
Autor:
Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan Oseledets
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2281 (2022)
Remote sensing tasks play a very important role in the domain of sensing and measuring, and can be very specific. Advances in computer vision techniques allow for the extraction of various information from remote sensing satellite imagery. This infor
Externí odkaz:
https://doaj.org/article/37ecd2865fff4823970ea7f0c3cdff62
Publikováno v:
Sensors, Vol 21, Iss 16, p 5646 (2021)
The near-infrared (NIR) spectral range (from 780 to 2500 nm) of the multispectral remote sensing imagery provides vital information for landcover classification, especially concerning vegetation assessment. Despite the usefulness of NIR, it does not
Externí odkaz:
https://doaj.org/article/fad71820fd0d4b74ab5b09a586143010
Publikováno v:
Journal of Computer and Systems Sciences International. 59:755-767
The height of a building is a basic characteristic needed for analytical services. It can be used to evaluate the population and functional zoning of a region. The analysis of the height structure of urban territories can be useful for understanding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d25c562d032d496a0e6edfc5f2fe9b2f
https://doi.org/10.1134/s106423072005007x
https://doi.org/10.1134/s106423072005007x
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 5646, p 5646 (2021)
Sensors, Vol 21, Iss 5646, p 5646 (2021)
The near-infrared (NIR) spectral range (from 780 to 2500 nm) of the multispectral remote sensing imagery provides vital information for landcover classification, especially concerning vegetation assessment. Despite the usefulness of NIR, it does not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c88931e0164b413dfe7fa99d45bd4a14
Publikováno v:
The 1st International Electronic Conference on Forests—Forests for a Better Future: Sustainability, Innovation, Interdisciplinarity.
Information on forest composition, and specifically the tree types and their distribution, aids in timber stock calculation and helps better understand the biodiversity in a particular region. Automatic satellite imagery analysis can significantly ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab0b1cbdfe041f4f980ac7180b9d7c25
https://doi.org/10.3390/iecf2020-08035
https://doi.org/10.3390/iecf2020-08035
Publikováno v:
Forests, Vol 12, Iss 1413, p 1413 (2021)
Forests
Volume 12
Issue 10
Forests
Volume 12
Issue 10
Information on forest composition, specifically tree types and their distribution, aids in timber stock calculation and can help to better understand the biodiversity in a particular region. Automatic satellite imagery analysis can significantly acce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e48ea86b950d23a928f39404be1d9285
https://doi.org/10.3390/f12101413
https://doi.org/10.3390/f12101413
Publikováno v:
Business Information Systems ISBN: 9783319939308
BIS
BIS
When major disaster occurs the questions are raised how to estimate the damage in time to support the decision making process and relief efforts by local authorities or humanitarian teams. In this paper we consider the use of Machine Learning and Com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3273c879d0d04cded2515fe1db25fa5
https://doi.org/10.1007/978-3-319-93931-5_25
https://doi.org/10.1007/978-3-319-93931-5_25
Publikováno v:
ICMV
Recent developments in the remote sensing systems and image processing made it possible to propose a new method of the object classification and detection of the specific changes in the series of satellite Earth images (so called targeted change dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0748a83df2994e6a116e6f99b08fba86