Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Style transfer-based domain adaptation for vegetation segmentation with optical imagery

Not Accessible

Your library or personal account may give you access

Abstract

Style transfer methods are an important task for domain adaptation of optical imagery to improve the performance of deep learning models when using different sensor systems. For the transformation between datasets, cycle-consistent adversarial networks achieve good results. However, during the style transfer process, characteristic spectral information that is essential for the analysis of vegetation could get lost. This issue is especially important since optical airborne- and spaceborne-based sensors are frequently used to investigate vegetation ground coverage and its condition. In this paper, we present a cycle-consistent adversarial domain adaptation method with four input channels for the segmentation of vegetation areas using index-based metrics. We show that our method preserves the specific ratio between the near-IR and RGB bands and improves the segmentation network performance for the target domain.

© 2021 Optical Society of America

Full Article  |  PDF Article
More Like This
GDCSeg-Net: general optic disc and cup segmentation network for multi-device fundus images

Qianlong Zhu, Xinjian Chen, Qingquan Meng, Jiahuan Song, Gaohui Luo, Meng Wang, Fei Shi, Zhongyue Chen, Dehui Xiang, Lingjiao Pan, Zuoyong Li, and Weifang Zhu
Biomed. Opt. Express 12(10) 6529-6544 (2021)

Multiscale dual attention mechanism for fluid segmentation of optical coherence tomography images

Minghui Chen, Wenfei Ma, Linfang Shi, Manqi Li, Cheng Wang, and Gang Zheng
Appl. Opt. 60(23) 6761-6768 (2021)

Improving the adaptability of the optical performance monitor by transfer learning

Xiaojie Fan, Zhenan Chen, Rui Hao, Fang Ren, and Jianping Wang
Appl. Opt. 60(16) 4827-4834 (2021)

Data Availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (13)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (5)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (8)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved