Very high resolution remote sensing image classification with SEEDS-CNN and scale effect analysis for superpixel CNN classification
X Lv, D Ming, YY Chen, M Wang - International Journal of Remote …, 2019 - Taylor & Francis
Pixel-based convolutional neural network (CNN) has demonstrated good performance in the
classification of very high resolution images (VHRI) from which abstract deep features are …
classification of very high resolution images (VHRI) from which abstract deep features are …
[HTML][HTML] Machine-learning approach using SAR data for the classification of oil palm trees that are non-infected and infected with the basal stem rot disease
Basal stem rot disease (BSR) in oil palm plants is caused by the Ganoderma boninense (G.
boninense) fungus. BSR is a major disease that affects oil palm plantations in Malaysia and …
boninense) fungus. BSR is a major disease that affects oil palm plantations in Malaysia and …
A simulation approach to the spectral quality of multispectral images enhancement
K Siok, A Jenerowicz, I Ewiak - Computers and Electronics in Agriculture, 2020 - Elsevier
The accuracy of environmental research with the use of remote sensing methods depends
upon the quality of image data. Hence the acquisition of images of high spatial and spectral …
upon the quality of image data. Hence the acquisition of images of high spatial and spectral …