Sea Ice Concentration Estimation Method with Satellite Based Visible to Near Infrared Radiometer Data Based on Category Decomposition

• Main Author: Kohei Arai
• Other Authors: The Pennsylvania State University CiteSeerX Archives
• Format: Text
• Language: English
• Subjects: Inversion theory; Category decomposition; Remote Sensing; Sea ice
• Online Access: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.403.8235; http://www.thesai.org/Downloads/IJARAI/Volume2No5/Paper_2-Sea_Ice_Concentration_Estimation_Method_with_Satellite_Based_Visible_to_Near_Infrared_Radiometer_Data_Based_on_Category_Decomposition.pdf

Abstract—Unmixing method for estimation of mixing ratio of the components of which the pixel in concern consists based on inversion theory is proposed together with its application to sea ice estimation method with satellite based visible to near infrared radiometer data. Through comparative study on the different unmixing methods with remote sensing satellite imagery data, it is found that the proposed inversion theory based unmixing method is superior to the other methods. Also it is found that the proposed unmixing method is applicable to sea ice concentration estimations.