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ABOVEGROUND BIOMASS ESTIMATION USING RECONSTRUCTED FEATURE OF AIRBORNE DISCRETE-RETURN LIDAR BY AUTO-ENCODER NEURAL NETWORK
Aboveground Biomass (AGB) Estimation Discrete-Return LiDAR Regression Auto-Encoder Neural Network
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2018/5/14
Aboveground biomass (AGB) estimation is critical for quantifying carbon stocks and essential for evaluating carbon cycle. In recent years, airborne LiDAR shows its great ability for highly-precision A...
Quantum Estimation of Magnetic-field Gradient Using W-state
Quantum metrology Magnetic-field gradient W-state Cold atoms
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2016/1/22
We study the precision limits of detecting a linear magnetic-field gradient by using W-states in the presence of different types of noises. We consider to use an atomic spin chain for probing the magn...
Image-Based Estimation and Validation of NIRS for High-Resolution Satellite Images
GSD MTF SNR NIIRS GIQE Edge Response
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2015/11/20
As high resolution satellite images are being used widely in many applications more and more users are demanding images of good quality. The ‘quality’ of satellite images are expressed by many technic...
Photocurrent Estimation for a Self-Reset CMOS Image Sensor
CMOS image sensor self-reset SNR dynamic range estimation
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2015/8/17
CMOS image sensors are capable of very high frame rate non-destructive readout. This capability and the potential of integrating memory and signal processing with the sensor on the same chip enable th...
Optical Flow estimation using high frame rate sequences
Optical Flow estimation high frame rate sequences
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2015/8/17
Gradient-based optical flow estimation methods such as Lucas Kanade method work well for scenes with small dlsplacements but fail when objects move with large displacements. Hierarchical matching-base...
Photocurrent Estimation from Multiple Non-destructive Samples in a CMOS Image Sensor
Photocurrent Estimation Multiple Non-destructive Samples CMOS Image Sensor
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2015/8/17
CMOS image sensors generally su er from lower dynamic range than CCDs due to their higher readout noise.Their high speed readout capability and the potential of integrating memory and signal processin...
Modeling and Estimation of FPN Components in CMOS Image Sensors
CMOS image sensor fixed pattern noise nonuniformity image sensor characterization
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2015/8/14
Fixed pattern noise (FPN) for a CCD sensor is modeled as a sample of a spatial white noise process. This model is,however, not adequate for characterizing FPN in CMOS sensors, since the readout circui...
Optical Flow Estimation Using Temporally Oversampled Video
Optical flow estimation Motion estimation High speed imaging CMOS image sensor Temporal oversampling
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2015/8/12
Recent advances in imaging sensor technology make high frame rate video capture practical. As demonstrated in previous work, this capability can be used to enhance the performance of many image and vi...
Likelihood bounds for constrained estimation with uncertainty
Estimate the linear model model uncertainty likelihood estimation the second-order cone programming
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2015/8/10
This paper addresses the problem of finding bounds on the optimal maximum a posteriori (or maximum likelihood) estimate in a linear model under the presence of model uncertainty. We introduce the nove...
Embedded estimation of fault parameters in an unmanned aerial vehicle
Based on the model of fault plane convex optimization problem constraint quadratic programming the horizon framework
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2015/8/10
In this paper, we present a model-based approach for estimating fault conditions in an aircraft. We formulate fault estimation as a convex optimization problem, where estimates are obtained by solving...
Optimal estimation of deterioration from diagnostic image sequence
Mechanical structural damage blurred image data images
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2015/8/10
Estimation of mechanical structure damage can greatly benefit from the knowledge that the damage accumulates irreversibly over time. This paper formulates a problem of estimation of a pixel-wise monot...
Estimation of ICAO Threat Model Parameters For Operational GPS Satellites
Estimation ICAO Threat Model Parameters GPS Satellites
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2015/6/26
The ICAO Second Order Step threat model defines a class of signal deformations that present a potential integrity threat to GPS-based aircraft landing systems such as the Local Area Augmentation...
Ionospheric Estimation using Extended Kriging for a low latitude SBAS
Ionospheric Estimation Extended Kriging latitude SBAS
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2015/6/26
The ionosphere causes the most difficult error to mitigate in Satellite Based Augmentation Systems (SBAS). The problem has been solved for the mid latitude regions using the thin shell approximation. ...
Linear Time-of-Arrival Estimation in a Multipath Environment by Inverse Correlation Method
Linear Time-of-Arrival Estimation Multipath Environment Inverse Correlation Method
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2015/6/26
The Maximum Likelihood Estimator (MLE) is most often used to estimate the signal time delay in a multipath en vironment. There are various implementations of the MLE which can be divided into the time...
Compressive Parameter Estimation with EMD
compressive sensing parameter estimation earth mover's distance K median clustering
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2014/12/8
In recent years, sparsity and compressive sensing have attracted significant attention in parameter estimation tasks, including frequency estimation, delay estimation, and localization. Parametric dic...