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Grimson, R.; Bali, J.L.; Rajngewerc, M.; Martin, L.S.; Salvia, M. "A Statistical Inverse Method for Gridding Passive Microwave Data with Mixed Measurements" (2019) IEEE Transactions on Geoscience and Remote Sensing. 57(3):1347-1357
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Abstract:

When a passive microwave footprint intersects objects on the ground with different spectral characteristics, the corresponding observation is mixed. The retrieval of geophysical parameters is limited by this mixture. We propose to partition the study region into objects following an object-based image analysis procedure and then to refine this partition into small cells. Then, we introduce a statistical method to estimate the brightness temperature (TB) of each cell. The method assumes that TB of the cells corresponding to the same object is identically distributed and that the TB heterogeneity within each cell can be neglected. The implementation is based on an iterative expectation-maximization algorithm. We evaluated the proposed method using synthetic images and applied it to grid the TBs of sample AMSR -2 real data over a coastal region in Argentina. © 1980-2012 IEEE.

Registro:

Documento: Artículo
Título:A Statistical Inverse Method for Gridding Passive Microwave Data with Mixed Measurements
Autor:Grimson, R.; Bali, J.L.; Rajngewerc, M.; Martin, L.S.; Salvia, M.
Filiación:Instituto de Investigacion e Ingenieria Ambiental, Universidad Nacional de San Martín, San Martín, 1650, Argentina
Consejo Nacional de Investigaciones Cientificas y Tecnologicas, CABA1425, Argentina
Instituto de Investigaciones Científicas y Tecnicas para la Defensa, Villa Martelli, 1603, Argentina
Instituto de Investig. e Ingenieria Ambiental, Universidad Nacional de San Martín, San Martín, 1650, Argentina
Instituto de Astronomia y Fisica Del Espacio, Universidad de Buenos Aires, Buenos Aires, 1053, Argentina
Palabras clave:Expectation-maximization (EM) algorithms; inverse problems; passive microwave remote sensing; Cells; Cytology; Image segmentation; Iterative methods; Maximum principle; Remote sensing; Brightness temperatures; Expectation-maximization algorithms; Geophysical parameters; Object based image analysis; Passive microwave data; Passive microwave remote sensing; Passive microwaves; Spectral characteristics; Inverse problems
Año:2019
Volumen:57
Número:3
Página de inicio:1347
Página de fin:1357
DOI: http://dx.doi.org/10.1109/TGRS.2018.2866196
Título revista:IEEE Transactions on Geoscience and Remote Sensing
Título revista abreviado:IEEE Trans Geosci Remote Sens
ISSN:01962892
CODEN:IGRSD
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01962892_v57_n3_p1347_Grimson

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Citas:

---------- APA ----------
Grimson, R., Bali, J.L., Rajngewerc, M., Martin, L.S. & Salvia, M. (2019) . A Statistical Inverse Method for Gridding Passive Microwave Data with Mixed Measurements. IEEE Transactions on Geoscience and Remote Sensing, 57(3), 1347-1357.
http://dx.doi.org/10.1109/TGRS.2018.2866196
---------- CHICAGO ----------
Grimson, R., Bali, J.L., Rajngewerc, M., Martin, L.S., Salvia, M. "A Statistical Inverse Method for Gridding Passive Microwave Data with Mixed Measurements" . IEEE Transactions on Geoscience and Remote Sensing 57, no. 3 (2019) : 1347-1357.
http://dx.doi.org/10.1109/TGRS.2018.2866196
---------- MLA ----------
Grimson, R., Bali, J.L., Rajngewerc, M., Martin, L.S., Salvia, M. "A Statistical Inverse Method for Gridding Passive Microwave Data with Mixed Measurements" . IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 3, 2019, pp. 1347-1357.
http://dx.doi.org/10.1109/TGRS.2018.2866196
---------- VANCOUVER ----------
Grimson, R., Bali, J.L., Rajngewerc, M., Martin, L.S., Salvia, M. A Statistical Inverse Method for Gridding Passive Microwave Data with Mixed Measurements. IEEE Trans Geosci Remote Sens. 2019;57(3):1347-1357.
http://dx.doi.org/10.1109/TGRS.2018.2866196