A parametric approach for the geocoding of airborne visible/infrared imaging spectrometer (AVIRIS) data in rugged terrain

Meyer, P.

doi:10.1016/0034-4257(94)90048-5

Cited by 17 publications

(4 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[For further elaboration on preprocessing, see Green (1992), Strobl et al . (1997 ), Meyer (1994) and Richter (1996) amongst others. ]…”

Section: Imaging Spectrometer Systems: Current and Futurementioning

confidence: 99%

“…The raw AVIRIS data were converted to reflectance using an empirical approach (Roberts et al, 1985) which uses a least-squares fit between known spectra of ground targets and raw spectra of the same targets in the scene. [For further elaboration on preprocessing, see Green (1992), Strobl et al (1997), Meyer (1994) and Richter (1996) amongst others. ] Validated surface mineralogy maps…”

Section: The Cuprite Mining Districtmentioning

confidence: 99%

“…A number of orbital (satellite) imaging spectrometer missions are planned or are being prepared currently: the Advanced Spaceborne Thermal Emission and Reflectance Radiometer (AS-TER; Kahle et al, 1991), the Medium Resolution Imaging Spectrometer (MERIS; Rast and BeÂ zy., 1995), the Process Research by an Imaging Space Mission (PRISM; Posselt et al, 1996), the Chinese CIS, the German MOS, the Australian Resource Information and Environment Satellite (ARIES-1). The advent of spaceborne instruments that can provide continuous global coverage at high spectral resolution calls for processing strategies that can be largely automated and that are designed for specific purposes.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Validated surface mineralogy from high‐spectral resolution remote sensing: a review and a novel approach applied to gold exploration using AVIRIS data

Meer¹,

Bakker²

1998

Terra Nova

View full text Add to dashboard Cite

Remote sensing’s main limitation to date was that geological surface information lacked detail due to the broad bandwidth of the operational scanners. Imaging spectrometers now allow acquisition of image data in many contiguous spectral bands, with the aim of producing laboratory‐like reflectance spectra for each pixel in the scene which can be directly compared with spectra of known materials measured in the field or laboratory to allow mineral identification on the Earth surface. The advent of satellite‐based imaging spectrometer systems justifies the surge for techniques that allow the automatic preparation of validated surface mineralogy maps. We show an extension of a procedure known as cross‐correlogram spectral matching to retrieve accuracy assessed surface mineralogy from Airborne Visible/InfraRed Imaging Spectrometer data (AVIRIS). The procedure is based on the spectral cross‐correlation of known mineral spectra with unknown pixel spectra from AVIRIS. The validation is performed through a root‐mean square calculation of expected correlograms and pixel correlograms. Results obtained in the study outlined allow an accurate delineation of zones of hydrothermal alteration in an area of active gold exploration.

show abstract

“…[For further elaboration on preprocessing, see Green (1992), Strobl et al . (1997 ), Meyer (1994) and Richter (1996) amongst others. ]…”

Section: Imaging Spectrometer Systems: Current and Futurementioning

confidence: 99%

Section: The Cuprite Mining Districtmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Validated surface mineralogy from high‐spectral resolution remote sensing: a review and a novel approach applied to gold exploration using AVIRIS data

Meer¹,

Bakker²

1998

Terra Nova

View full text Add to dashboard Cite

show abstract

“…These methods rely on a significant number of control points, and their application accuracy often depends on the geometric precision of the reference imagery (Gregory et al, 1999). Forward transformation, on the other hand, calculates the true coordinates of each pixel based on known sensor position and attitude data, such as the Parametric Geocoding method (Meyer 1994, Schläpfer et al 1998a/b, 2002. This approach has been successfully applied to various airborne sensors, including AISA, AVIRIS, and CASI.…”

Section: Introductionmentioning

confidence: 99%

Efficient Geometric Correction Workflow for Airborne Hyperspectral Images through DEM-Driven Correction Techniques

Yu,

Li,

et al. 2024

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

View full text Add to dashboard Cite

Abstract. Geometric correction, a pivotal step in the preprocessing of airborne remote sensing imagery, is critical for ensuring the accuracy of subsequent quantitative analyses. Achieving precise and efficient geometric correction for airborne hyperspectral data remains a significant challenge in the field. This study presents a new method for system-level and fine-scale geometric correction of uncontrolled airborne images utilizing DEM data, which integrates forward and inverse transformation algorithms. Furthermore, an optimized workflow is proposed to facilitate the processing of large-scale hyperspectral datasets. The effectiveness of the proposed method is demonstrated through an application analysis using airborne HyMap imagery, with experimental outcomes indicating high application accuracy and enhanced processing efficiency.

show abstract

Remote Sensing Geometric Corrections

Moreno

1999

Wiley Encyclopedia of Electrical and Electronics Engineering

View full text Add to dashboard Cite

The sections in this article are Spatial Resolution General Parametric Approach for Image Geocoding Polynomial Approximations Automatic Registration Techniques The Need of Ground Control Points for Accurate Registration Cartographic Projections The Problem of Topographic Distortions Resampling Calibration and Removal of Technical Anomalies Spatial Mosaicking Multitemporal Compositing Operational Processing and Data Volume Considerations

show abstract

A parametric approach for the geocoding of airborne visible/infrared imaging spectrometer (AVIRIS) data in rugged terrain

Cited by 17 publications

References 5 publications

Validated surface mineralogy from high‐spectral resolution remote sensing: a review and a novel approach applied to gold exploration using AVIRIS data

Validated surface mineralogy from high‐spectral resolution remote sensing: a review and a novel approach applied to gold exploration using AVIRIS data

Efficient Geometric Correction Workflow for Airborne Hyperspectral Images through DEM-Driven Correction Techniques

Remote Sensing Geometric Corrections

Contact Info

Product

Resources

About