What is it about?
classification of the invasive plats was done with help of deep learning new methods such us CNN and CNN_LSTM architecture.
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Why is it important?
applying the deep neural networks will increase the accuracy of identification of the invasive plants from remote sensing data.
Perspectives
this article adds to the literature body a new method for processing the hyperspectral non-imaging data. the deep neural networks used first in the field by the authors.
Abdulla Omeer
University of Aden
Read the Original
This page is a summary of: Deep Learning-Based Models for Classification of Invasive Plant Species from Hyperspectral Remotely Sensed Data, August 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3484824.3484884.
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