Statistical and machine learning models for remote sensing data mining—recent advancements

HIGHLIGHTS

• who: Monidipa Das et al. from the (UNIVERSITY) have published the article: Statistical and Machine Learning Models for Remote Sensing Data Mining—Recent Advancements, in the Journal: (JOURNAL) of 24/03/2022
• how: The approach is based on a combination of Random Forest (RF) and Conditional Random Fields (CRFs).

SUMMARY

Consequently, mining useful patterns/information from these enormous volumes of heterogeneous unstructured data requires enhanced data mining techniques exploiting the power of advanced computational intelligence and high-performance computing paradigms. With this background in mind, in this Special Issue, the authors . . .

 



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