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How many parameters can be maximally estimated from a set of measurements?
dc.contributor.author | Konings, Alexandra G. |
dc.contributor.author | McColl, Kaighin Alexander |
dc.contributor.author | Piles Guillem, Maria |
dc.contributor.author | Entekhabi, Dara |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2016-01-22T15:01:20Z |
dc.date.available | 2016-01-22T15:01:20Z |
dc.date.issued | 2015-05-01 |
dc.identifier.citation | Konings, A., McColl, K., Piles, M., Entekhabi, D. How many parameters can be maximally estimated from a set of measurements?. "IEEE Geoscience and Remote Sensing Letters", 01 Maig 2015, vol. 12, núm. 5, p. 1081-1085. |
dc.identifier.issn | 1545-598X |
dc.identifier.uri | http://hdl.handle.net/2117/81900 |
dc.description | ©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
dc.description.abstract | Remote sensing algorithms often invert multiple measurements simultaneously to retrieve a group of geophysical parameters. In order to create a robust retrieval algorithm, it is necessary to ensure that there are more unique measurements than parameters to be retrieved. If this is not the case, the inversion might have multiple solutions and be sensitive to noise. In this letter, we introduce a methodology to calculate the number of (possibly fractional) |
dc.format.extent | 5 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar |
dc.subject.lcsh | Remote sensing |
dc.subject.lcsh | Algorithms |
dc.subject.other | Algorithm design |
dc.subject.other | Mutual information |
dc.subject.other | Retrieval algorithms |
dc.subject.other | Total correlation |
dc.subject.other | Intrinsic dimensionality estimation |
dc.subject.other | Mutual information |
dc.subject.other | Retrieval |
dc.subject.other | Classification |
dc.subject.other | Space |
dc.title | How many parameters can be maximally estimated from a set of measurements? |
dc.type | Article |
dc.subject.lemac | Teledetecció |
dc.subject.lemac | Algorismes |
dc.contributor.group | Universitat Politècnica de Catalunya. CTE-CRAE - Grup de Recerca en Ciències i Tecnologies de l'Espai |
dc.identifier.doi | 10.1109/LGRS.2014.2381641 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7004836 |
dc.rights.access | Open Access |
local.identifier.drac | 15595946 |
dc.description.version | Postprint (published version) |
local.citation.author | Konings, A.; McColl, K.; Piles, M.; Entekhabi, D. |
local.citation.publicationName | IEEE Geoscience and Remote Sensing Letters |
local.citation.volume | 12 |
local.citation.number | 5 |
local.citation.startingPage | 1081 |
local.citation.endingPage | 1085 |
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