Zobrazeno 1 - 10
of 17
pro vyhledávání: '"J. Alex Hurt"'
Publikováno v:
Sensors, Vol 23, Iss 18, p 7766 (2023)
Too often, the testing and evaluation of object detection, as well as the classification techniques for high-resolution remote sensing imagery, are confined to clean, discretely partitioned datasets, i.e., the closed-world model. In recent years, the
Externí odkaz:
https://doaj.org/article/e98648adeed643399978b3ddf0007475
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::203545786b5055f29b8cc7a0ab407f37
https://doi.org/10.1109/ijcnn55064.2022.9892177
https://doi.org/10.1109/ijcnn55064.2022.9892177
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73e802ab178f9f4cf2a6e72e7f0f14aa
https://doi.org/10.1109/igarss46834.2022.9884492
https://doi.org/10.1109/igarss46834.2022.9884492
Autor:
Trevor M. Bajkowski, J. Alex Hurt, Jeffrey Dale, David Huangal, James M. Keller, Grant J. Scott, Stanton R. Price
Publikováno v:
2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e04db533320ad3d50a0d85a3e6900f3a
https://doi.org/10.1109/aipr52630.2021.9762206
https://doi.org/10.1109/aipr52630.2021.9762206
Publikováno v:
IGARSS
Deep learning has proven to be an immensely powerful tool within the remote sensing space, with capabilities to perform tasks like classification, object detection, and segmentation in a wide range of modalities and spatial resolutions. The deep neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ed844d0bf6e880893d27db20f5addf9
https://doi.org/10.1109/igarss47720.2021.9553057
https://doi.org/10.1109/igarss47720.2021.9553057
Autor:
David Huangal, Jeffrey M. Dale, Trevor M. Bajkowski, James M. Keller, J. Alex Hurt, Grant J. Scott, Stanton R. Price
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
Within computer vision, deep neural networks (DNNs) have gained tremendous popularity in recent years due to their ability to extract and classify visual features. As this technology has become more widespread, some of the shortcomings of the DNNs ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05c98e6b3ad5b2071ee10d0024b1ddb7
https://doi.org/10.1117/12.2585843
https://doi.org/10.1117/12.2585843
Autor:
David Huangal, Grant J. Scott, Stanton R. Price, J. Alex Hurt, James M. Keller, Trevor M. Bajkowski, Jeffrey M. Dale, Nelson Earle
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
Advancement in remote sensing capabilities have led to unprecedented quantity and quality of data across a number of sensing modalities. It is now possible to outfit nearly any mobile platform not only with high resolution cameras, but also with inex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81f4411067737c0e0202e98cd61a15c6
https://doi.org/10.1117/12.2585906
https://doi.org/10.1117/12.2585906
Autor:
Jeffrey M. Dale, David Huangal, Trevor M. Bajkowski, J. Alex Hurt, James M. Keller, Stanton R. Price, Grant J. Scott
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
Unmanned aerial systems (UAS) equipped with visual sensors can be quickly deployed to map novel regions, a useful ability in GPS-denied regions, search and rescue operations, disaster response, and defense. Assisted by such a UAS, a ground vehicle co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a2d285a32dfe5fd10d1faf5699948de
https://doi.org/10.1117/12.2585905
https://doi.org/10.1117/12.2585905
Detection of unknown maneuverability hazards in low-altitude UAS color imagery using linear features
Autor:
David Huangal, Stanton R. Price, J. Alex Hurt, Trevor M. Bajkowski, James M. Keller, Grant J. Scott, Jeffrey Dale
Publikováno v:
AIPR
Deep learning approaches have very quickly become the most popular framework for both semantic segmentation and object detection/recognition tasks. Especially in object detection, however, supervised models like deep neural networks are inherently pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::828daa6e838c150bf45cf326dda42e91
https://doi.org/10.1109/aipr50011.2020.9425255
https://doi.org/10.1109/aipr50011.2020.9425255
Autor:
Stanton R. Price, James M. Keller, Trevor M. Bajkowski, Jeffery M Dale, Grant J. Scott, David Huangal, J. Alex Hurt
Publikováno v:
AIPR
Low-altitude unmanned aerial systems (UAS) have a rapidly changing field of view for most sensor payloads, especially downward-looking high-resolution visual imagery. In this research, we explore visible-spectrum derived spatiotemporal awareness appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bcd4413f556ddebff81b9578b63f2de
https://doi.org/10.1109/aipr50011.2020.9425160
https://doi.org/10.1109/aipr50011.2020.9425160