Improved lithological map of large complex semi-arid regions using spectral and textural datasets within google earth engine and fused machine learning multi …
I Serbouti, M Raji, M Hakdaoui, F El Kamel, B Pradhan… - Remote Sensing, 2022 - mdpi.com
In this era of free and open-access satellite and spatial data, modern innovations in cloud
computing and machine-learning algorithms (MLAs) are transforming how Earth-observation …
computing and machine-learning algorithms (MLAs) are transforming how Earth-observation …
A multiple classifier fusion algorithm using weighted decision templates
A Mi, L Wang, J Qi - Scientific Programming, 2016 - Wiley Online Library
Fusing classifiers' decisions can improve the performance of a pattern recognition system.
Many applications areas have adopted the methods of multiple classifier fusion to increase …
Many applications areas have adopted the methods of multiple classifier fusion to increase …
Characterizing fire-induced forest structure and aboveground biomass changes in boreal forests using multi-temporal lidar and Landsat
Wildfire is the dominant stand-replacing disturbance regime in Canadian boreal forests. An
accurate quantification of postfire changes in forest structure and aboveground biomass …
accurate quantification of postfire changes in forest structure and aboveground biomass …
[PDF][PDF] Application of fixed classifier fusion rules in phacoemulsification operation1
A Mi, H Sima - journal.it.cas.cz
In cataract ultrasonic phacoemulsification operation, a key problem is controlling
frequencies of the ultrasonic wave emitted from the emulsification pinhead. The solution of it …
frequencies of the ultrasonic wave emitted from the emulsification pinhead. The solution of it …