IEEE International Geoscience and Remote Sensing Symposium
DOI: 10.1109/igarss.2002.1026105
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Detection and correction of abnormal pixels in Hyperion images

Abstract: Hyperion images are currently processed to level 1a (from level 0 or raw data). These level 1a images are files of radiometrically corrected data in units of either watts/(sr × micron × m 2 ) × 40 for VNIR bands or watts/(sr × micron × m 2 ) × 80 for SWIR bands. Each distributed Hyperion level 1a image tape contains a log file, called "(EO-1 identifier).fix.log", that reports the bad or corrupted pixels (called known bad pixels) found during the pre-flight checking, and details how they were fixed. All bad pix… Show more

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Cited by 57 publications
(35 citation statements)
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“…Estes ruídos são introduzidos devido a fatores como a não-linearidade dos detectores, deslocamento da abertura do componente óptico em relação ao plano focal e efeitos de temperatura. Para a correção dos mesmos, foi utilizada a metodologia proposta por Goodenough et al (2003) e Han et al (2002), sendo substituída a resposta radiométrica dos pixels nas faixas ruidosas pela média de seus vizinhos na direção horizontal.…”
Section: Pré-processamento Da Imagem Hyperion/eo-1unclassified
“…Estes ruídos são introduzidos devido a fatores como a não-linearidade dos detectores, deslocamento da abertura do componente óptico em relação ao plano focal e efeitos de temperatura. Para a correção dos mesmos, foi utilizada a metodologia proposta por Goodenough et al (2003) e Han et al (2002), sendo substituída a resposta radiométrica dos pixels nas faixas ruidosas pela média de seus vizinhos na direção horizontal.…”
Section: Pré-processamento Da Imagem Hyperion/eo-1unclassified
“…Although more sophisticated error detection methodologies exist (e.g., [37,39,40]), they can be monetarily expensive to implement and rely on a higher level of mathematical understanding. Without a fundamental understanding of a method, its implementation can lead to inaccurate interpretations.…”
Section: Discussionmentioning
confidence: 99%
“…The in-situ datasets were used to provide ground truth measurements for the characterization of the CC. (e.g., [37][38][39][40]), they can be expensive to implement and rely on a higher level of mathematical understanding. To develop a novel method, the CC was first characterized with respect to artificiallyinduced errors in ground data.…”
Section: In-situ Ground Hyperspectral Datamentioning
confidence: 99%
“…At the same time varying materials of the detectors can lead to different sensitivities to this radiation. If differences in the calibration of the sensors exist, or temperature differences occur, the noise of the sensor can increase [36]. Due to the principle of the data acquisition it is possible that artifacts, such as stripes in the images, disturb the visual impression.…”
Section: Radiometric Effects On Remote Sensing Datamentioning
confidence: 99%