Optical remote sensing of the earth

Goetz, Alexander; Wellman, John B.; Barnes, William

doi:10.1109/proc.1985.13229

Cited by 35 publications

(10 citation statements)

References 33 publications

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“…Hereinto, Figure 5 Figure 5(b) that the number of received CPs in each step is greater than four, which means the observations are sufficient for the geometric localization in three-dimension space [9]. One path of ( ) is given in Figure 5(c), based on which the optimal filter can be obtained directly by using the scheme in Sections 3 and 4.…”

Section: Simulation Results and Analysismentioning

confidence: 98%

“…In [8], a particle filter based track-before-detect (TkBD) scheme was proposed for multiple sensors, where the sensors were asynchronous and heterogeneous; however, the TkBD schemes are computationally expensive and are mainly applicable in scene of low signal-to-noise ratios. Earlier research of RSO focused on optical sensors [9], in which the sensor noise is assumed to be Gaussian. More recent efforts focus on the radar problem, where the pixel intensity is either Rayleigh or Rician distributed depending on the absence or presence of objectives [10].…”

Section: Introductionmentioning

confidence: 99%

“…. , − 1) is introduced to represent the failure of the preestimating algorithm(19) at time , with the reason that the numbers of reorganized CMs̃ℏ | ( ) or̃− | ( ) are less than a lower limit[9,12]. Thus, through preestimating transformation, the remote sensing CMs in(14) with high dimension are transformed into the data missing in(20) with lower dimension.Besides, and(̃[ ] ( ), [ ] ( )) in(19) will be deduced through a complementary fusion strategy, with the details as follows.3.2.…”

mentioning

confidence: 99%

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Adaptive Finite-Horizon Group Estimation for Networked Navigation Systems with Remote Sensing Complementary Observations under Mixed LOS/NLOS Environments

Gao

Zhao

et al. 2016

Mathematical Problems in Engineering

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Networked navigation system (NNS) enables a wealth of new applications where real-time estimation is essential. In this paper, an adaptive horizon estimator has been addressed to solve the navigational state estimation problem of NNS with the features of remote sensing complementary observations (RSOs) and mixed LOS/NLOS environments. In our approach, it is assumed that RSOs are the essential observations of the local processor but suffer from random transmission delay; a jump Markov system has been modeled with the switching parameters corresponding to LOS/NLOS errors. An adaptive finite-horizon group estimator (AFGE) has been proposed, where the horizon size can be adjusted in real time according to stochastic parameters and random delays. First, a delay-aware FIR (DFIR) estimator has been derived with observation reorganization and complementary fusion strategies. Second, an adaptive horizon group (AHG) policy has been proposed to manage the horizon size. The AFGE algorithm is thus realized by combining AHG policy and DFIR estimator. It is shown by a numerical example that the proposed AFGE has a more robust performance than the FIR estimator using constant optimal horizon size.

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Section: Simulation Results and Analysismentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Adaptive Finite-Horizon Group Estimation for Networked Navigation Systems with Remote Sensing Complementary Observations under Mixed LOS/NLOS Environments

Gao

Zhao

et al. 2016

Mathematical Problems in Engineering

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“…The imaging spectrometer is the optical system to observe two-dimensional spatial image and to measure the spectrum of the light that is collected from each position of the image at once [13][14][15]. This spatial and spectral information is used to determine the constituent composition through the spectroscopy for scientific research, military purpose, and others applications over the regional scale of the image [16][17][18][19]. The Image Information Research Center of the Korea Advanced Institute of Science and Technology in South Korea has been developing dispersive push broom imaging spectrometers that can operate in the visible range.…”

Section: Design Targetmentioning

confidence: 99%

Initial design method based on an iterative calculation of aberration and its application to an objective lens for imaging spectrometer

Kong

Lee

2014

Appl. Opt.

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An initial optical design method based on an iterative calculation of third-order aberration is presented to overcome the problems of the conventional method. The aberrations of each lens group in the optical system are calculated individually and iteratively under the constraint that aberrations of one group compensate for those of the other groups. The stabilities of initial design results have been confirmed and the iterative design method has been applied for the design of optical system with an external entrance pupil for imaging spectrometer. The designed lens corresponds to an objective lens with the aperture of F/1.5 and the focal length of 30 mm.

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“…In addition, the spectral information can be veiy useful for the detection and classification of various types of materials, vegetation, and chemicals. For example, Alexander Goetz, et al, at the Jet Propulsion Laboratory reported that spectral reflectance data in the near-IR region can provide important discrimination capability between species of vegetation [1]. Additional studies have reported that reflected radiation from vegetation contains specular and diffuse components important for vegetation species discrimination [2,3].…”

Section: Introductionmentioning

confidence: 99%

Multispectral band sharpening using pseudoinverse estimation and fuzzy reasoning

Patterson

Bullock

Wada

1992

Surveillance Technologies II

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Exploitation of commercial multispectral satellite imagery (e.g., Landsat Thematic Mapper (TM) and SPOT multispectral scanner) can be extremely useful for surveillance and broad area search due to the large geographic areas covered with each orbital pass. However, most multispectral sensors are not designed for the specialized tasks associated with surveillance. As a result, multispectral exploitation for surveillance faces significant technical problems. Principle among these problems is the low spatial resolution of the sensor. This paper presents an innovative technique that synergistically fuses high resolution panchromatic imagery with lower resolution multispectral imagery to generate a "sharpened multispectral image", which is an estimation of high resolution multispectral information. This is a two stage paradigm where an initial estimate of the sharpened image is made using the pseudoinverse and then refined using a set of fuzzy rules. The pseudoinverse produces a minimum mean-squared error estimate of the sharpened pixel while the fuzzy rules refine this estimate using the local information contained in the surrounding pixels. This technique and preliminary processing results are presented. Implications for surveillance is also discussed.

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Optical remote sensing of the earth

Cited by 35 publications

References 33 publications

Adaptive Finite-Horizon Group Estimation for Networked Navigation Systems with Remote Sensing Complementary Observations under Mixed LOS/NLOS Environments

Adaptive Finite-Horizon Group Estimation for Networked Navigation Systems with Remote Sensing Complementary Observations under Mixed LOS/NLOS Environments

Initial design method based on an iterative calculation of aberration and its application to an objective lens for imaging spectrometer

Multispectral band sharpening using pseudoinverse estimation and fuzzy reasoning

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