Zobrazeno 1 - 10
of 41
pro vyhledávání: '"A V, Potnis"'
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 1, p 32 (2021)
Earth Observation data possess tremendous potential in understanding the dynamics of our planet. We propose the Semantics-driven Remote Sensing Scene Understanding (Sem-RSSU) framework for rendering comprehensive grounded spatio-contextual scene desc
Externí odkaz:
https://doaj.org/article/c0bbc444e4f74c4ba828aabb70806092
Publikováno v:
Advances in Scalable and Intelligent Geospatial Analytics ISBN: 9781003270928
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e79b97a81fe5b0fad8faea915ca4588d
https://doi.org/10.1201/9781003270928-13
https://doi.org/10.1201/9781003270928-13
Autor:
V. V. Potnis, Bhosale Shital Namdeo
Publikováno v:
International Journal of Scientific Research in Science and Technology. :137-147
Hyperpigmentation of lips that is characterized by darkening of red portion of lips accompanied with dryness and bleeding is common disorder occurring in both men and women. It mostly affects age group of 25-40 years and has unpredictable course. The
Publikováno v:
IGARSS
Remote sensing lidar point cloud dataset embeds inherent 3D topological, topographical and complex geometrical information which possess immense potential in applications involving machine-understandable 3D perception. The lidar point clouds are unst
Publikováno v:
IGARSS
In the early hours following the earthquake, supporting humanitarian actions like rescue operations and relief distribution is the primary objective of the rescue managers. The damage mapping can be performed using reliable data that can be obtained
Publikováno v:
IGARSS
There has been an increase in the adoption of Linked Data and subsequently representing data in the form of knowledge graphs across a wide spectrum of domains. There has also been significant interest in the remote sensing community to publish Earth
Publikováno v:
IGARSS
With an increase in Geospatial Linked Open Data being adopted and published over the web, there is a need to develop intuitive interfaces and systems for seamless and efficient exploratory analysis of such rich heterogeneous multi-modal datasets. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc1c71d7ea614ace2f422e8bb2ef12ba
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 32, p 32 (2021)
ISPRS International Journal of Geo-Information
Volume 10
Issue 1
ISPRS International Journal of Geo-Information
Volume 10
Issue 1
Earth Observation data possess tremendous potential in understanding the dynamics of our planet. We propose the Semantics-driven Remote Sensing Scene Understanding (Sem-RSSU) framework for rendering comprehensive grounded spatio-contextual scene desc
Publikováno v:
IGARSS
Real-time embedded vision tasks require extraction of complex geometric and morphological features from the raw 3D point cloud acquired using range scanning systems like lidar, radar etc. and depth cameras. Such applications are found in autonomous n
Publikováno v:
ARIC@SIGSPATIAL
Extreme events such as urban floods are dynamic in nature, i.e. they evolve with time. The spatiotemporal analysis of such disastrous events is important for understanding the resiliency of an urban system during these events. Remote Sensing (RS) dat