Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Mary L. Comer"'
Autor:
Mridul Gupta, Jonathan Chan, Mitchell Krouss, Greg Furlich, Paul Martens, Moses W. Chan, Mary L. Comer, Edward J. Delp
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c163d56aa4fa35728cd6489519a9f144
https://doi.org/10.1109/lgrs.2022.3203931
https://doi.org/10.1109/lgrs.2022.3203931
Autor:
Emily R. Bartusiak, Michael A. Jacobs, Corbin F. Spells, Moses W. Chan, Mary L. Comer, Edward J. Delp
Publikováno v:
2023 IEEE Aerospace Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db68b41d4004b725e735d376be150c40
https://doi.org/10.1109/aero55745.2023.10115826
https://doi.org/10.1109/aero55745.2023.10115826
Autor:
Sriram Baireddy, Sundip R. Desai, Richard H. Foster, Moses W. Chan, Mary L. Comer, Edward J. Delp
Publikováno v:
2023 IEEE Aerospace Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0defdebdb137489bc62b145f58582ba6
https://doi.org/10.1109/aero55745.2023.10115783
https://doi.org/10.1109/aero55745.2023.10115783
Autor:
Mridul Gupta, Mary L. Comer, Edward J. Delp, Jonathan Chan, Mitchell Krouss, Paul Martens, Moses W. Chan
Publikováno v:
2023 IEEE Aerospace Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::508dedc12ab51305163821e8bf4af408
https://doi.org/10.1109/aero55745.2023.10115708
https://doi.org/10.1109/aero55745.2023.10115708
Autor:
Sriram Baireddy, Moses W. Chan, Sundip R. Desai, Richard H. Foster, Mary L. Comer, Edward J. Delp
Publikováno v:
2022 IEEE Aerospace Conference (AERO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::993c1aa1a4a863e83f8c10decf31b7e7
https://doi.org/10.1109/aero53065.2022.9843380
https://doi.org/10.1109/aero53065.2022.9843380
Autor:
Mridul Gupta, Sriram Baireddy, Jonathan Chan, Mitchell Krouss, Greg Furlich, Paul Martens, Moses W. Chan, Mary L. Comer, Edward J. Delp
Publikováno v:
2022 IEEE Aerospace Conference (AERO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f853a0cb5a12dfb2568738b59450e13
https://doi.org/10.1109/aero53065.2022.9843692
https://doi.org/10.1109/aero53065.2022.9843692
Autor:
Emily R. Bartusiak, Hanxiang Hao, Michael A. Jacobs, Nhat X. Nguyen, Moses W. Chan, Mary L. Comer, Edward J. Delp
Publikováno v:
2022 IEEE Aerospace Conference (AERO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49dfb1c5ba1e1e8c0b4173372d05ecd2
https://doi.org/10.1109/aero53065.2022.9843362
https://doi.org/10.1109/aero53065.2022.9843362
Autor:
Sriram Baireddy, Latisha Konz, Hanxiang Hao, Mary L. Comer, Kevin J. LaTourette, Moses W. Chan, Edward J. Delp
Publikováno v:
SIGSPATIAL/GIS
Automatic building segmentation is an important task for satellite imagery analysis and scene understanding. Most existing segmentation methods focus on the case where the images are taken from directly overhead (i.e., low off-nadir/viewing angle). T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18cd4eab496fc96ffd5403679b91dff6
https://doi.org/10.1145/3474717.3483918
https://doi.org/10.1145/3474717.3483918
Publikováno v:
IEEE Transactions on Image Processing. 28:5064-5076
Differentiating objects separated by narrow gaps is a challenging and important task in analyzing microscopic images. These small separations provide useful information for applications that require detailed boundary information and/or an accurate pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6188c9309429ea532ff78dd41af19fe8
https://doi.org/10.1109/tip.2019.2910389
https://doi.org/10.1109/tip.2019.2910389
Autor:
Mary L. Comer, Edward J. Delp, James L. Mathieson, Sundip R. Desai, Moses W. Chan, Sriram Baireddy, Richard H. Foster
Publikováno v:
CVPR Workshops
Anomaly detection in telemetry channels is a high priority for spacecraft, especially when considering the harsh environment of space and the magnitude of launch and operation costs. Traditional spacecraft anomaly detection methods are limited in sco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c3ca9dccac15bfd033d0e04713a7df9
https://doi.org/10.1109/cvprw53098.2021.00223
https://doi.org/10.1109/cvprw53098.2021.00223