Abstract
As an important part of spatial data, remote sensing data also has the characteristic of uncertainty existing in data acquisition, data pre-processing, information extraction, information classification and information evaluation. To these characteristics, concepts of remote sensing mineralized alterations repeatability was put forward. Using Duolong porphyry copper deposit, Tibet as an example, data repeatability was discussed. Results show that the same sensor of remote sensing mineralized alterations were similar under circumstance of time phase which does not vary much, but the results will be partially different when the anomaly classes meets together.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
