A Light-Weight Deep Learning Model for Remote Sensing Image Classification

In this paper, we present a high-performance and light-weight deep learning model for Remote Sensing Image Classification (RSIC), the task of identifying the aerial scene of a remote sensing image. To this end, we first evaluate various benchmark convolutional neural network (CNN) architectures: Mob...

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Vydané v:	2023 International Symposium on Image and Signal Processing and Analysis (ISPA) s. 1 - 6
Hlavní autori:	Pham, Lam, Le, Cam, Ngo, Dat, Nguyen, Anh, Lampert, Jasmin, Schindler, Alexander, McLoughlin, Ian
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 18.09.2023
Predmet:	Analytical models Benchmark testing Complexity theory Computational modeling convolutional neural network (CNN) Convolutional neural networks data augmentation Deep learning high-level features Image edge detection Teacher-student model
ISSN:	1849-2266
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