Next Article in Journal
Polyp Segmentation with Fully Convolutional Deep Neural Networks—Extended Evaluation Study
Next Article in Special Issue
Edge-Based Color Image Segmentation Using Particle Motion in a Vector Image Field Derived from Local Color Distance Images
Previous Article in Journal
Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis
Previous Article in Special Issue
Color Image Complexity versus Over-Segmentation: A Preliminary Study on the Correlation between Complexity Measures and Number of Segments
Article

A Discriminative Long Short Term Memory Network with Metric Learning Applied to Multispectral Time Series Classification

1
Department of Computer Engineering, Istanbul Technical University, Maslak, Istanbul 34469, Turkey
2
Institute of Information Technologies, Gebze Technical University, Kocaeli 41400, Turkey
*
Author to whom correspondence should be addressed.
Received: 31 May 2020 / Revised: 6 July 2020 / Accepted: 8 July 2020 / Published: 12 July 2020
(This article belongs to the Special Issue Color Image Segmentation )
In this article, we propose an end-to-end deep network for the classification of multi-spectral time series and apply them to crop type mapping. Long short-term memory networks (LSTMs) are well established in this regard, thanks to their capacity to capture both long and short term temporal dependencies. Nevertheless, dealing with high intra-class variance and inter-class similarity still remain significant challenges. To address these issues, we propose a straightforward approach where LSTMs are combined with metric learning. The proposed architecture accommodates three distinct branches with shared weights, each containing a LSTM module, that are merged through a triplet loss. It thus not only minimizes classification error, but enforces the sub-networks to produce more discriminative deep features. It is validated via Breizhcrops, a very recently introduced and challenging time series dataset for crop type mapping. View Full-Text
Keywords: multitemporal; multispectral; long short-term memory network; metric learning multitemporal; multispectral; long short-term memory network; metric learning
Show Figures

Figure 1

MDPI and ACS Style

Bozo, M.; Aptoula, E.; Çataltepe, Z. A Discriminative Long Short Term Memory Network with Metric Learning Applied to Multispectral Time Series Classification. J. Imaging 2020, 6, 68. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging6070068

AMA Style

Bozo M, Aptoula E, Çataltepe Z. A Discriminative Long Short Term Memory Network with Metric Learning Applied to Multispectral Time Series Classification. Journal of Imaging. 2020; 6(7):68. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging6070068

Chicago/Turabian Style

Bozo, Merve, Erchan Aptoula, and Zehra Çataltepe. 2020. "A Discriminative Long Short Term Memory Network with Metric Learning Applied to Multispectral Time Series Classification" Journal of Imaging 6, no. 7: 68. https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging6070068

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop