Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Conrad Bielski"'
Autor:
Peter L. Guth, Sebastiano Trevisani, Carlos H. Grohmann, John Lindsay, Dean Gesch, Laurence Hawker, Conrad Bielski
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3273 (2024)
At least 10 global digital elevation models (DEMs) at one-arc-second resolution now cover Earth. Comparing derived grids, like slope or curvature, preserves surface spatial relationships, and can be more important than just elevation values. Such com
Externí odkaz:
https://doaj.org/article/09492b430b7f4afc833ab2e1c54f58dd
Autor:
Zoltan Szantoi, Gabriel Jaffrain, Heinz Gallaun, Conrad Bielski, Karl Ruf, Andrea Lupi, Petra Miletich, Anne-Cecile Giroux, Irina Carlan, Willibald Croi, Helene Augu, Christian Kowalewski, Andreas Brink
Publikováno v:
European Journal of Remote Sensing, Vol 54, Iss 1, Pp 538-557 (2021)
The Copernicus High-Resolution Hot Spot Monitoring activity (C-HSM) delivers a global dataset of Key Landscapes for Conservation (KLC), which are characterized by pronounced anthropogenic pressures that require high mapping accuracy. Detailed land co
Externí odkaz:
https://doaj.org/article/5ebd373310814e9baed0bdd74b28d2ab
Publikováno v:
Remote Sensing, Vol 3, Iss 6, Pp 1234-1250 (2011)
The goal of the two year Ground European Network for Earth Science Interoperations-Digital Repositories (GENESI-DR) project was to build an open and seamless access service to Earth science digital repositories for European and world-wide science use
Externí odkaz:
https://doaj.org/article/3fd690787eff4a018de2c3de6adabbd2
The DEMIX ‘wine contest’ is a novel framework for a practical approach to inter-compare a range of candidate digital elevation models (DEMs) based on pre-defined criteria and a statistically sound ranking approach, known as the randomized complet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d66611b6ea62e3caa97727d1d5e19ce
Publikováno v:
International Biodeterioration & Biodegradation. 63:328-333
The biodegradation of six PCB congeners (IUPAC nos. 28, 52, 101, 138, 153, 168) present in transformer oil using different commercial mixtures of microorganisms (Sybron 1000, Biozyn 301, Biozyn 300, DBC 5, ChZR, NS 20-10, NS 20-20, NS 20) under anoxi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::284b333250c63cea59c95a1ae58f4287
https://doi.org/10.1016/j.ibiod.2008.06.007
https://doi.org/10.1016/j.ibiod.2008.06.007
Autor:
Davide Poletto, Conrad Bielski, Claudio Rossi, Wolfgang Stemberger, Nina Costa, Gunter Zeug, Fabrizio Dominici, Emiliano Spaltro
Publikováno v:
IGARSS
Despite the growing development of space-based systems aimed at monitoring and studying natural hazards, floods continue to harm humankind worldwide, causing enormous human and economic losses. In view of improving the existing Copernicus Emergency M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13b91a5932026b2faf59570f02ff003c
https://doi.org/10.1109/igarss.2015.7326371
https://doi.org/10.1109/igarss.2015.7326371
Autor:
Conrad Bielski, Daniele Ehrlich
Publikováno v:
JURSE
This paper addresses built up change detection using texture features derived from SPOT Panchromatic imagery and principal component analysis (PCA). SPOT imagery combines the adequate ground sampling distance (GSD) and large area coverage that extend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba325b2fcc30db5fd8dc3fc09a4aeb33
https://doi.org/10.1109/jurse.2011.5764723
https://doi.org/10.1109/jurse.2011.5764723
Autor:
Conrad Bielski, Pierre Soille
Publikováno v:
Adaptive and Natural Computing Algorithms ISBN: 9783540715900
ICANNGA (2)
ICANNGA (2)
Automatic image compositing of very large data sets is necessary for the creation of extensive mosaics based on high spatial resolution remotely sensed imagery. A novel morphological image compositing algorithm has been developed which adapts to sali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be56504a6a5a8f5e2641aed2a07a152a
https://doi.org/10.1007/978-3-540-71629-7_56
https://doi.org/10.1007/978-3-540-71629-7_56
Publikováno v:
IGARSS
Users of remotely sensed imagery are often faced with the need to stitch two or more overlapping scenes together. This is generally referred to as image composition and the outcome is a single image with no overlapping regions which is also called an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2f1a9e3fe7eb0160047295b1df48964
https://doi.org/10.1109/igarss.2007.4423743
https://doi.org/10.1109/igarss.2007.4423743
Autor:
Pierre Soille, Conrad Bielski
Publikováno v:
Image Analysis and Processing – ICIAP 2005 ISBN: 9783540288695
ICIAP
ICIAP
Image compositing is defined as the assembling of two or more overlapping images into a single image. Recently, a morphological image compositing algorithm was proposed that automatically positions seam lines along salient image structures. This algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c2f229a982fef894415e6ebbc5620fa
https://doi.org/10.1007/11553595_132
https://doi.org/10.1007/11553595_132