Ortho Image Production within an Automatic Processing Chain for hyperspectral Airborne Scanner ARES

نویسنده

  • R. Müller
چکیده

The airborne imaging spectrometer ARES (Airborne Reflective Emissive Spectrometer) is a new scanner available for the user community in 2006. The sensor will provide 160 channels in the solar reflective region (0.47 – 2.42 μm) and in the thermal region (8.1 – 12.1 μm) within the thematic focus of agriculture, vegetation, geology and soil science. An automatic processing system embedded in the Data Information and Management System DIMS of DLR is established, which includes system corrections, radiometric calibration, atmospheric correction and ortho image production. For the ortho image production a kinematic GPS positioning and inertial measurement unit IMU as well as a worldwide digital elevation database is used. Furthermore the stereo sensor ADS40, installed in the aircraft together with the imaging sensor, is foreseen to produce high accuracy digital elevation models in combination with the DEM database. The boresight misalignment angles are calibrated using a ground control point field located at the DLR airbase. The paper describes the automatic processing chain for the different product levels, especially the direct georeferencing of the airborne data. Results and experiences of the automatic processor for the HyMap line scanner are shown. The long term stability of the boresight misalignment angles are investigated, which is essential for an automatic processing.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Implementation of the Automatic Processing Chain for Ares

DLR and GFZ are procuring the airborne hyperspectral scanner ARES (Airborne Reflective and Emissive Spectrometer) to be operating from autumn 2005. In order to ensure the first fully automatic processing environment for hyperspectral airborne scanner data working without any user interaction, a complete processing chain for hyperspectral data is designed. It includes an automatic invocation of ...

متن کامل

Registration of Airborne Scanner Imagery Using Akima Local Quintic Polynomial Interpolation

Evaluation and analysis of most remotely sensed data requires careful image-to-image registration or ortho-rectification (geocoding). Photogrammetric practice has shown that polynomial transformation functions are useful for registration of aerial photographs. However, multiand hyperspectral remotely sensed data are often recorded by airborne line scanners. Then ortho-rectification by conventio...

متن کامل

Performance Analysis of Segmentation of Hyperspectral Images Based on Color Image Segmentation

Image segmentation is a fundamental approach in the field of image processing and based on user’s application .This paper propose an original and simple segmentation strategy based on the EM approach that resolves many informatics problems about hyperspectral images which are observed by airborne sensors. In a first step, to simplify the input color textured image into a color image without tex...

متن کامل

A Unified Approach to Parametric Geocoding and Atmospheric/topographic Correction for Wide Fov Airborne Imagery Part 1 : Parametric Ortho-rectification Process

A combined geometric and radiometric processing chain for hyperspectral data is presented. This paper describes the ortho-rectification solution for the geometric part of the whole problem. A parametric geocoding approach (PARGE) has been chosen. The geometrical model strictly considers all navigational parameters engaging a forward transformation methodology. For the implementation, a number o...

متن کامل

An Approach for Automated Registration of Hyperspectral Images for Boresight Calibration

Parametric geocoding is a standard procedure for orthorectification of hyperspectral airborne scanner data. Boresight parameters are estimated by using the image coordinates of precisely known ground reference points. To fully automate the processing of the recorded hyperspectral data ground reference points should be selected and matched by an algorithm without user interaction. In this articl...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005