scispace - formally typeset
D

Daniel Schlaepfer

Researcher at University of Zurich

Publications -  15
Citations -  257

Daniel Schlaepfer is an academic researcher from University of Zurich. The author has contributed to research in topics: Imaging spectrometer & Spectrometer. The author has an hindex of 8, co-authored 15 publications receiving 255 citations.

Papers
More filters
Proceedings ArticleDOI

PARGE: parametric geocoding based on GCP-calibrated auxiliary data

TL;DR: In this paper, a ground control point based procedure was developed to recalibrate the offsets of the attitude data since they usually are given as relative angles, which theoretically allows sub-pixel accuracy even in steep terrain.
Proceedings ArticleDOI

APEX; current status of the airborne dispersive pushbroom imaging spectrometer

TL;DR: APEX is a dispersive pushbroom imaging spectrometer operating in the spectral range between 380 - 2500 nm as discussed by the authors. But the spectral resolution will not be better than 10 nm in SWIR and < 5 nm in the VNIR range of the solar reflected range.
Proceedings ArticleDOI

Laboratory calibration and inflight validation of the Digital Airborne Imaging Spectrometer DAIS 7915

TL;DR: In this paper, the authors present the laboratory instrumentation and measurements that were brought into place at the German Aerospace Research Establishment (DLR) to calibrate the DAIS 7915 sensor.

The airborne imaging spectrometer apex: from concept to realisation

TL;DR: APEX (Airborne Prism EXperiment) is a project of the European Space Agency ESA focusing on high accuracy simulation, calibration, and validation for spaceborne remote sensing instruments as discussed by the authors, which comprises a hyperspectral imager for various standard airborne platforms, a fixed installed calibration home base and a complete facility for data processing and archiving.
Journal ArticleDOI

Evaluation of diurnal hyperspectral HDRF data acquired with the RSL field goniometer during the DAISEX'99 campaign

TL;DR: In this article, two different normalization methods to derive anisotropy factors, i.e., dividing by nadir reflectance and by spectral albedo, are tested and discussed.