Land Cover Classification of PolSAR Images Using Semantic Segmentation Networks

被引：0

作者：

Turkmenli, Ilter ^{[1
]}

Aptoula, Erchan ^{[2
]}

Kayabol, Koray ^{[1
]}

机构：

[1] Gebze Tekn Univ, Elekt Muhendisligi Bolumu, Gebze, Turkey

[2] Gebze Tekn Univ, Bilisim Teknol Enst, Gebze, Turkey

来源：

2020 28TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU) | 2020年

关键词：

SAR image; land cover classification; Sentinel; 1; SegNet; U-net;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

With the free access to the SAR images obtained by the Sentinel 1 satellite, it provided the opportunity to make large scale land cover mapping using these images. This increased the need for fast and high-performance classification of large-scale SAR images. In this study, semantic segmentation networks such as SegNet and U-net have been proposed to obtain a fast and high performance classification. Also to train and test these recommended methods, a new data set consist of dual polarization SAR images of Turkey and ground truths has been created.

引用

页数：4

共 50 条

[31] Land Cover Classification from fused DSM and UAV Images Using Convolutional Neural Networks
Al-Najjar, Husam A. H.
Kalantar, Bahareh
Pradhan, Biswajeet
Saeidi, Vahideh
Halin, Alfian Abdul
Ueda, Naonori
Mansor, Shattri
REMOTE SENSING, 2019, 11 (12)
[32] Application of neural networks on the basis of radial functions for land cover classification using multispectral images
Nazarov, L.E.
Issledovanie Zemli iz Kosmosa, 2002, (03): : 44 - 53
[33] Semantic Segmentation of PolSAR Images Using Conditional Random Field Model Based on Deep Features
Hu, Tao
Li, Wei-hua
Qin, Xian-xiang
2018 INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SCIENCE AND APPLICATION TECHNOLOGY, 2019, 1168
[34] LAND COVER CLASSIFICATION OF SATELLITE IMAGES USING CONTEXTUAL INFORMATION
Froehlich, Bjorn
Bach, Eric
Walde, Irene
Hese, Soren
Schmullius, Christiane
Denzler, Joachim
VCM 2013 - THE ISPRS WORKSHOP ON 3D VIRTUAL CITY MODELING, 2013, II-3/W1 : 1 - 6
[35] Hierarchical Land Cover Classification using IKONOS and AIRSAR Images
Yeom, Junho
Lee, Jeongho
Kim, Dukjin
Kim, Yongil
KOREAN JOURNAL OF REMOTE SENSING, 2011, 27 (04) : 435 - 444
[36] Land cover classification of satellite images using deep learning
Ul Hoque, Md Sami
Al Mahmud
Silwal, Roshan
Ajami, Hanieh
Nigjeh, Mandi Kargar
Umbaugh, Scott E.
APPLICATIONS OF DIGITAL IMAGE PROCESSING XLVII, 2024, 13137
[37] Exploring the Performance of Different Texture Information and Polarization Features from PolSAR Images in Urban Land Cover Classification
Guo, Songjing
Teng, Jiahua
Cheng, Qimin
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2021, 87 (02): : 133 - 142
[38] Improving PolSAR Land Cover Classification With Radiometric Correction of the Coherency Matrix
Atwood, Donald K.
Small, David
Gens, Ruediger
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2012, 5 (03) : 848 - 856
[39] PolSAR Image Land Cover Classification Based on Hierarchical Capsule Network
Cheng, Jianda
Zhang, Fan
Xiang, Deliang
Yin, Qiang
Zhou, Yongsheng
Wang, Wei
REMOTE SENSING, 2021, 13 (16)
[40] Unsupervised land cover classification using H/α-/TP space applied to POLSAR image analysis
Kimura, K
Yamaguchi, Y
Yamada, H
IEICE TRANSACTIONS ON COMMUNICATIONS, 2004, E87B (06) : 1639 - 1647

← 1 2 3 4 5 →