Next Article in Journal
Next Article in Special Issue
Previous Article in Journal
Previous Article in Special Issue
Remote Sens. 2011, 3(3), 484-502; doi:10.3390/rs3030484
Article

Advantages of the Boresight Effect in Hyperspectral Data Analysis

*  and
Received: 18 December 2010; in revised form: 16 February 2011 / Accepted: 18 February 2011 / Published: 1 March 2011
(This article belongs to the Special Issue 100 Years ISPRS - Advancing Remote Sensing Science)
Download PDF [1157 KB, uploaded 19 June 2014]
Abstract: Dual pushbroom hyperspectral sensors consist of two different instruments (covering different wavelengths) that are usually mounted on the same optical bench. This configuration leads to problems, such as co-registration of pixels and squint of the field of view, known as the boresight effect. Determination of image-orientation parameters is due to the combination of an inertial measurement system (IMU) and global position system (GPS). The different positions of the IMU, the GPS antenna and the imaging sensors cause the orientation and boresight effect. Any small change in the correction of the internal orientation affects the co-registration between images extracted from the two instruments. Correcting the boresight effect is a key and almost automatic task performed by all dual-system users to better analyze the full spectral information of a given pixel. Thus, the boresight effect is considered to be noise in the system and a problem that needs to be corrected prior to any (thematic) data analysis. We propose using the boresight effect, prior to its correction, as a tool to monitor and detect spectral phenomena that can provide additional information not present in the corrected images. The advantage of using this effect was investigated with the AISA-Dual sensor, composed of an EAGLE sensor for the VIS-NIR (VNIR) region (400–970 nm) and HAWK for the SWIR region (980–2,450 nm). During the course of more than six years of operating this sensor, we have found that the boresight effect provides a new capacity to analyze hyperspectral data, reported herein. Accordingly, we generated a protocol to use this effect for three applications: (1) enhancing the shadow effect; (2) generating a 3-D view; and (3) better detecting spectral/spatial anomalies based on sub-pixel edge detection. This paper provides examples of these applications and suggests possible uses from an airborne platform.
Keywords: boresight; dual pushbroom hyperspectral sensor; shadow map; stereo 3-D map; anomaly detection boresight; dual pushbroom hyperspectral sensor; shadow map; stereo 3-D map; anomaly detection
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Brook, A.; Ben-Dor, E. Advantages of the Boresight Effect in Hyperspectral Data Analysis. Remote Sens. 2011, 3, 484-502.

AMA Style

Brook A, Ben-Dor E. Advantages of the Boresight Effect in Hyperspectral Data Analysis. Remote Sensing. 2011; 3(3):484-502.

Chicago/Turabian Style

Brook, Anna; Ben-Dor, Eyal. 2011. "Advantages of the Boresight Effect in Hyperspectral Data Analysis." Remote Sens. 3, no. 3: 484-502.


Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert