Please use this identifier to cite or link to this item:
Title: On the darkest pixel atmospheric correction algorithm: a revised procedure applied over satellite remotely sensed images intended for environmental applications
Authors: Hadjimitsis, Diofantos G. 
Retalis, Adrianos 
Clayton, Chris R I 
Keywords: Remote sensing;Algorithms;Data reduction;Environmental impact analysis;Image analysis;Meteorology;Satellites;Regression analysis
Issue Date: 2004
Publisher: Spie
Source: Proceedings of SPIE - The international society for optical engineering, 2004, volume 5239, pages 464-471
Abstract: Atmospheric correction is an essential part of the pre-processing of satellite remote sensing data. Several atmospheric correction approaches can be found in the literature ranging from simple to sophisticated methods. The sophisticated methods require auxiliary data, however the simple methods are based only on the image itself and are served to be suitable for operational use. One of the most widely used and well-known simple atmospheric correction methods is the darkest pixel (DP). Despite of its simplicity, the user must be aware of several key points in order to avoid any erroneous results. Indeed, this paper addresses a new strategy for selecting the suitable dark object based on the proposed analysis of digital number histograms and image examination. Several case studies, in which satellite remotely sensed image data intended for environmental applications have been atmospherically corrected using the DP method, are presented in this article.
ISSN: 0277786X
DOI: 10.1117/12.511520
Rights: © (2004) COPYRIGHT SPIE
Type: Article
Appears in Collections:Άρθρα/Articles

Show full item record

Citations 10

checked on Dec 9, 2018

Page view(s) 20

Last Week
Last month
checked on Dec 16, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.