A simplified method for retrieval of ground level reflectance of targets from airborne video imagery

Edirisinghe, A.; Chapman, G. E.; Louis, John

doi:10.1080/01431160117786

Cited by 7 publications

(2 citation statements)

References 7 publications

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“…The multispectral sensor is made of 4 digital camera, each one with a CCD, that acquire images at the same time [19-21], a wheel with eight positions where it is possible to mount the interferential filters, the shutters and the lens, that are connected to the PC through a multiplexer box. Data acquired by the GPS systems are also registered to the PC.…”

Section: The Aspis Systemmentioning

confidence: 99%

ASPIS, A Flexible Multispectral System for Airborne Remote Sensing Environmental Applications

Papale

Belli

Gioli

et al. 2008

Sensors

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Section: The Aspis Systemmentioning

confidence: 99%

ASPIS, A Flexible Multispectral System for Airborne Remote Sensing Environmental Applications

Papale

Belli

Gioli

et al. 2008

Sensors

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“…The study of electromagnetic characteristics [1][2][3][4][5] of targets and environment has a very important role in the field of remote sensing information processing and target identification: in the field of remote sensing information processing [6][7][8][9], it is necessary to analyze and study the electromagnetic characteristics of remote sens-ing environment and targets, and to design and manufacture sensors to match them in order to obtain the best target remote sensing information. Radar is one of the most commonly used sensors for target remote sensing, which uses electromagnetic signals to sense targets and has the ability to work around the clock.…”

Section: Introductionmentioning

confidence: 99%

Composite Scattering Study of Layered Rough Surface withTarget based on CCIA

Zhang,

Wei

2024

ACES Journal

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In this paper, a fast Cross Coupling iterative Approach (CCIA) is proposed for studying the composite scattering of the layered rough surfaces with buried target, which uses forward backward method (FBM) to solve the electric field integral equations (EFIE) of the layered rough surface and bi-conjugate gradient method (BI-CG) to solve the EFIE of the target, and the interaction between the rough surface and the target is achieved by updating the excitation term. The algorithm is applied to calculate the composite scattering coefficients of the rough surface with a buried target, the results match with those of the traditional numerical algorithm MOM while the error can be reduced to 10−3 by 6 iterations, and the convergence speed and calculation accuracy meet the requirements. The composite scattering coefficients and Angular Correlation Function (ACF) amplitudes of layered rough surface and dielectric targets with different conditions are calculated, and the effects of various factors such as target size and burial depth on the composite scattering characteristics are discussed. It is found that the buried targets will have a great influence on the scattering characteristics, weakening or neglecting the coupling between them will lead to larger errors. Moreover, the results show that ACF can suppress scattering from rough surfaces well, making the scattering characteristics of the target more obvious, which is important for detecting underground targets.

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Ultra low-level airborne (ULLA) sensing of crop canopy reflectance: A case study using a CropCircle™ sensor

Lamb

Trotter

Schneider

2009

Computers and Electronics in Agriculture

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A simplified method for retrieval of ground level reflectance of targets from airborne video imagery

Cited by 7 publications

References 7 publications

ASPIS, A Flexible Multispectral System for Airborne Remote Sensing Environmental Applications

ASPIS, A Flexible Multispectral System for Airborne Remote Sensing Environmental Applications

Composite Scattering Study of Layered Rough Surface withTarget based on CCIA

Ultra low-level airborne (ULLA) sensing of crop canopy reflectance: A case study using a CropCircle™ sensor

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