Multiple Incremental Kernel Convolution for Land Cover Classification of Remotely Sensed Images - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Xuanwen Tao, L. Han, Mercedes Eugenia Paoletti, Swalpa Kumar Roy, Javier Plaza, Juan Mario Haut, Antonio Plaza. Multiple Incremental Kernel Convolution for Land Cover Classification of Remotely Sensed Images. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, July 11-16, 2021. pages 2548-2551, IEEE, 2021. [doi]

The following publications are possibly variants of this publication:

Land-Cover Classification of Remotely Sensed Images Using Compressive Sensing Having Severe Scarcity of Labeled PatternsMoumita Roy, Farid Melgani, Ashish Ghosh, Enrico Blanzieri, Susmita Ghosh. lgrs, 12(6):1257-1261, 2015. [doi]

Domain adaptation for land-cover classification of remotely sensed images using ensemble of Multilayer PerceptronsShounak Chakraborty 0002, Moumita Roy. rait 2016: 523-528 [doi]

Inception time DCNN for land cover classification by analyzing multi-temporal remotely sensed imagesIndrajit Kalita, Moumita Roy. igarss 2022: 5736-5739 [doi]

runs on WebDSL