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REMOTE SENSING IMAGE CLASSIFICATION WITH THE SEN12MS DATASET
- Source :
- ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-2-2021, Pp 101-106 (2021)
- Publication Year :
- 2021
- Publisher :
- Copernicus GmbH, 2021.
-
Abstract
- Image classification is one of the main drivers of the rapid developments in deep learning with convolutional neural networks for computer vision. So is the analogous task of scene classification in remote sensing. However, in contrast to the computer vision community that has long been using well-established, large-scale standard datasets to train and benchmark high-capacity models, the remote sensing community still largely relies on relatively small and often application-dependend datasets, thus lacking comparability. With this paper, we present a classification-oriented conversion of the SEN12MS dataset. Using that, we provide results for several baseline models based on two standard CNN architectures and different input data configurations. Our results support the benchmarking of remote sensing image classification and provide insights to the benefit of multi-spectral data and multi-sensor data fusion over conventional RGB imagery.
- Subjects :
- Technology
010504 meteorology & atmospheric sciences
Contextual image classification
business.industry
Computer science
Deep learning
Benchmarking
010501 environmental sciences
Engineering (General). Civil engineering (General)
Sensor fusion
01 natural sciences
Convolutional neural network
TA1501-1820
Remote sensing (archaeology)
Benchmark (computing)
RGB color model
Applied optics. Photonics
Artificial intelligence
TA1-2040
business
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 21949050
- Database :
- OpenAIRE
- Journal :
- ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Accession number :
- edsair.doi.dedup.....472ceae2e74aee7efd5fa11d307d2882
- Full Text :
- https://doi.org/10.5194/isprs-annals-v-2-2021-101-2021