Sea Ice Concentration Estimation Method with Satellite Based Visible to Near Infrared Radiometer Data Based on Category Decomposition
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 sate...
| Published in: | International Journal of Advanced Research in Artificial Intelligence |
|---|---|
| Main Author: | |
| Format: | Text |
| Language: | English |
| Published: |
The Science and Information (SAI) Organization
2013
|
| Subjects: | |
| Online Access: | https://doi.org/10.14569/IJARAI.2013.020502 |
| Summary: | 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 |
|---|