Open AccessAtmospheric Correction of Multiple Reflectance using S3
Author(s) -
Dhruti Prajapati,
M. P. G. Raj,
Manoj Lunagariya
Publication year - 2019
Publication title -
international journal on recent and innovation trends in computing and communication
Language(s) - English
Resource type - Journals
ISSN - 2321-8169
DOI - 10.17762/ijritcc.v7i6.5331
Subject(s) - remote sensing , reflectivity , atmospheric correction , satellite , image (mathematics) , computer science , satellite image , signal (programming language) , process (computing) , atmosphere (unit) , environmental science , computer vision , optics , geology , meteorology , geography , physics , operating system , astronomy , programming language
In remote sensing multi-temporal images are used for assorted type of analysis. The image which is taken by satellite or airborne sensors is affected by atmosphere, so the reflected solar radiation of the image is not actual. Image with incorrect reflectance has no means. Such kind of image need to be corrected before usage. Image comprises of list of values, which needs to undergo this correction process. Existing paradigm provides a means to correct a single reflectance value at a time. Thus, for a list of values, this correction process is cumbersome and tedious. This paper presents a paradigm which allows to correct atmospheric correction of satellite signal for single as well as multiple reflectance values using S3 (Satellite Signal Simulator).