Please use this identifier to cite or link to this item:
https://doi.org/10.1109/IGARSS.2018.8517755
DC Field | Value | |
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dc.title | MODEL-BASED DECOMPOSITION WITH REDUCED NEGATIVE SCATTERING POWERS | |
dc.contributor.author | Lee, Ken Yoong | |
dc.contributor.author | Hou, Chen Guang | |
dc.contributor.author | Chen, Jun Xiang | |
dc.contributor.author | Liew, Soo Chin | |
dc.contributor.author | Kwoh, Leong Keong | |
dc.date.accessioned | 2019-06-24T08:25:40Z | |
dc.date.available | 2019-06-24T08:25:40Z | |
dc.date.issued | 2019-06-24 | |
dc.identifier.citation | Lee, Ken Yoong, Hou, Chen Guang, Chen, Jun Xiang, Liew, Soo Chin, Kwoh, Leong Keong (2019-06-24). MODEL-BASED DECOMPOSITION WITH REDUCED NEGATIVE SCATTERING POWERS. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM 2018-July : 4547-4550. ScholarBank@NUS Repository. https://doi.org/10.1109/IGARSS.2018.8517755 | |
dc.identifier.isbn | 9781538671504 | |
dc.identifier.issn | 21536996 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/155844 | |
dc.description.abstract | © 2018 IEEE A multi-stage four-component decomposition, which is inspired by the generalized odd-bounce and double-bounce scattering models, is presented in this paper for reducing negative power pixels. Its performance was evaluated by using NASA/JPL AIRSAR PolSAR C- and L-band data. The experimental results showed that a large amount of negative power pixels over vegetated areas were reduced. | |
dc.publisher | IEEE | |
dc.source | Elements | |
dc.subject | Science & Technology | |
dc.subject | Technology | |
dc.subject | Physical Sciences | |
dc.subject | Engineering, Electrical & Electronic | |
dc.subject | Geosciences, Multidisciplinary | |
dc.subject | Remote Sensing | |
dc.subject | Engineering | |
dc.subject | Geology | |
dc.subject | Polarimetric synthetic aperture radar | |
dc.subject | scattering mechanisms | |
dc.subject | model-based decomposition | |
dc.type | Conference Paper | |
dc.date.updated | 2019-06-24T02:52:08Z | |
dc.contributor.department | CTR FOR REM IMAGING,SENSING & PROCESSING | |
dc.description.doi | 10.1109/IGARSS.2018.8517755 | |
dc.description.sourcetitle | IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | |
dc.description.volume | 2018-July | |
dc.description.page | 4547-4550 | |
dc.published.state | Published | |
dc.description.redeposit | completed | |
Appears in Collections: | Elements Staff Publications |
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File | Description | Size | Format | Access Settings | Version | |
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IGARSS2018.pdf | Accepted version | 685.59 kB | Adobe PDF | OPEN | Post-print | View/Download |
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