Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Michael Gartley"'
Publikováno v:
Remote Sensing, Vol 6, Iss 11, Pp 10523-10545 (2014)
Pushbroom-style imaging systems exhibit several advantages over line scanners when used on space-borne platforms as they typically achieve higher signal-to-noise and reduce the need for moving parts. Pushbroom sensors contain thousands of detectors,
Externí odkaz:
https://doaj.org/article/8c6b891d033c4dfdaed0c74373880b7a
Autor:
Christian Berger, Michael Voltersen, Robert Eckardt, Jonas Eberle, Thomas Heyer, Nesrin Salepci, Soren Hese, Christiane Schmullius, Junyi Tao, Stefan Auer, Richard Bamler, Ken Ewald, Michael Gartley, John Jacobson, Alan Buswell, Qian Du, Fabio Pacifici
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 6, Iss 3, Pp 1324-1340 (2013)
The 2012 Data Fusion Contest organized by the Data Fusion Technical Committee (DFTC) of the IEEE Geoscience and Remote Sensing Society (GRSS) aimed at investigating the potential use of very high spatial resolution (VHR) multi-modal/multi-temporal im
Externí odkaz:
https://doaj.org/article/eb5e5ab161f2448db62a7e15b149f66d
Publikováno v:
Remote Sensing, Vol 4, Iss 8, Pp 2477-2491 (2012)
The next Landsat satellite, which is scheduled for launch in early 2013, will carry two instruments: the Operational Land Imager (OLI) and the Thermal Infrared Sensor (TIRS). Significant design changes over previous Landsat instruments have been made
Externí odkaz:
https://doaj.org/article/f180f1f8bcd846998497c3d8cc4b3c46
Autor:
Sanghui Han, Alex Fafard, John Kerekes, Michael Gartley, Emmett Ientilucci, Andreas Savakis, Charles Law, Jason Parhan, Matt Turek, Keith Fieldhouse, Todd Rovito
Publikováno v:
SPIE Proceedings.
Training deep convolutional networks for satellite or aerial image analysis often requires a large amount of training data. For a more robust algorithm, training data need to have variations not only in the background and target, but also radiometric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b66f4e9f598dce69ba170dd6c5830261
https://doi.org/10.1117/12.2261702
https://doi.org/10.1117/12.2261702
Autor:
Michael Gartley, John Schott
This chapter builds on the thermal infrared principles introduced in Chapter 11 and parallels the simple measurements and synthetic scene modeling approach for reflective imaging polarimetry presented in Chapter 10. In Chapter 11, we introduced therm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ee949857da252b80a6e8a521555db7b
https://doi.org/10.1117/3.817304.ch12
https://doi.org/10.1117/3.817304.ch12
To this point we have focused on the underlying phenomenology that governs the formation and observation of polarimetric signatures in remotely sensed images. In this chapter we will introduce a simple method to measure the primary terms impacting li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc683b96c89b2c0392065c22407e1ade
https://doi.org/10.1117/3.817304.ch10
https://doi.org/10.1117/3.817304.ch10
Autor:
Michael Gartley, John Schott
To simplify the discussion of polarization concepts, we have for the most part avoided consideration of the emissive region of the EM spectrum. This chapter and the next specifically address the emissive region. In this chapter, we begin with a short
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::767a7cf6d1c4610e2efa4fee9c5ef8f7
https://doi.org/10.1117/3.817304.ch11
https://doi.org/10.1117/3.817304.ch11