Multicolor focal plane array detector technology: a review

Abedin, M. Nurul; Refaat, Tamer F.; Zawodny, J. M.; Sandford, Stephen P.; Singh, Upendra N.; Bandara, S. V.; Gunapala, Sarath D.; Bhat, Ishwara B.; Barnes, Norman P.

doi:10.1117/12.505887

Cited by 13 publications

(17 citation statements)

References 38 publications

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“…Texture features (Castano et al, 2001) could be used to either complement color classification or for terrain typing at night, when color cannot be used. Possible additional sensors include multispectral cameras in the thermal IR (Abedin et al, 2003), which also could be used for terrain classification at night, and polarization cameras, which may help detecting water bodies in the scene (Wolff, 1996).…”

Section: Discussionmentioning

confidence: 99%

“…Unfortunately, this ambiguity cannot be removed based on color alone (Roberts et al, 1993). Some other features (such as visual texture (Castano et al, 2001;Shi and Manduchi, 2003) or thermal multispectral analysis (Abedin et al, 2003)) could be used jointly with color to enhance the classifier performance in these cases.…”

Section: Classification Using Mixtures Of Gaussiansmentioning

confidence: 99%

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Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation

et al. 2005

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Abstract. Autonomous navigation in cross-country environments presents many new challenges with respect to more traditional, urban environments. The lack of highly structured components in the scene complicates the design of even basic functionalities such as obstacle detection. In addition to the geometric description of the scene, terrain typing is also an important component of the perceptual system. Recognizing the different classes of terrain and obstacles enables the path planner to choose the most efficient route toward the desired goal.This paper presents new sensor processing algorithms that are suitable for cross-country autonomous navigation. We consider two sensor systems that complement each other in an ideal sensor suite: a color stereo camera, and a single axis ladar. We propose an obstacle detection technique, based on stereo range measurements, that does not rely on typical structural assumption on the scene (such as the presence of a visible ground plane); a color-based classification system to label the detected obstacles according to a set of terrain classes; and an algorithm for the analysis of ladar data that allows one to discriminate between grass and obstacles (such as tree trunks or rocks), even when such obstacles are partially hidden in the grass. These algorithms have been developed and implemented by the Jet Propulsion Laboratory (JPL) as part of its involvement in a number of projects sponsored by the US Department of Defense, and have enabled safe autonomous navigation in high-vegetated, off-road terrain.

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Section: Discussionmentioning

confidence: 99%

Section: Classification Using Mixtures Of Gaussiansmentioning

confidence: 99%

Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation

et al. 2005

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“…In this section, we focus on current and the most recently developed detectors in addition to emphasizing in SWIR-to-Far infrared broadband detectors for space-based instruments to measure CO 2 , CH 4 , water vapor and greenhouse gases 10 . This novel detector component will make instruments designed for these critical measurements more efficient while reducing complexity and associated electronics and weight.…”

Section: Infrared Detector Technologiesmentioning

confidence: 99%

Infrared detectors overview in the short-wave infrared to far-infrared for CLARREO mission

2010

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There exists a considerable interest in the broadband detectors for CLARREO Mission, which can be used to detect CO 2 , O 3 , H 2 O, CH 4 , and other gases. Detection of these species is critical for understanding the Earth's atmosphere, atmospheric chemistry, and systemic force driving climatic changes. Discussions are focused on current and the most recent detectors developed in SWIR-to-Far infrared range for CLARREO space-based instrument to measure the above-mentioned species. These detector components will make instruments designed for these critical detections more efficient while reducing complexity and associated electronics and weight. We will review the on-going detector technology efforts in the SWIR to Far-IR regions at different organizations in this study.

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“…But, there is no report on multi-color FPA technology in the spectral range of near UV to long wave, a region that has important potential benefits to NASA Earth Science Enterprise. Therefore, NASA Langley Research Center (LaRC), in partnership with Rensselaer Polytechnic Institute (RPI) and Jet Propulsion Laboratory (JPL), proposed to develop a multi-color detector in the UV to far infrared wavength range by using wafer-bonding technology [6][7][8] within Breakthrough Atmospheric Remote Sensing under NASA enabling concepts and technology (ECT) development program.…”

Section: Introductionmentioning

confidence: 99%

Bias selective operation of Sb-based two-color photodetectors

et al. 2006

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Multicolor detectors have a strong potential to replace conventional single-color detectors in application dealing with the simultaneous detection of more than one wavelength. This will lead to the reduction of heavy and complex optical components now required for spectral discrimination for multi-wavelengths applications. This multicolor technology is simpler, lighter, compact and cheaper with respect to the single-color ones.In this paper, Sb-based two-color detectors fabrication and characterization are presented. The color separation is achieved by fabricating dual band pn junction on a GaSb substrate. The first band consists of an InGaAsSb pn junction for long wavelength detection, while the second band consists of a GaSb pn junction for shorter wavelength detection. Three metal contacts were deposited to access the individual junctions. Surface morphology of multi-layer thin films and also device characteristics of quasi-dual band photodetector were characterized using standard optical microscope and electro-optic techniques respectively. Dark current measurements illustrated the diode behavior of both lattice-matched detector bands. Spectral response measurements indicated either independent operation of both detectors simultaneously, or selective operation of one detector, by the polarity of the bias voltage, while serially accessing both devices.

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Multicolor focal plane array detector technology: a review

Cited by 13 publications

References 38 publications

Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation

Obstacle Detection and Terrain Classification for Autonomous Off-Road Navigation

Infrared detectors overview in the short-wave infrared to far-infrared for CLARREO mission

Bias selective operation of Sb-based two-color photodetectors

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