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

• Published in: International Journal of Advanced Research in Artificial Intelligence
• Main Author: Kohei Arai
• Format: Text
• Language: English
• Published: The Science and Information (SAI) Organization 2013
• Subjects: Unmixing; Inversion theory; Category decomposition; Remote Sensing; Sea ice
• Online Access: https://doi.org/10.14569/IJARAI.2013.020502

International Journal of Advanced Research in Artificial Intelligence(IJARAI), 2(5), 2013 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. http://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