ROBUST ROAD DETECTION ON HIGH-RESOLUTION REMOTE SENSING IMAGES WITH OCCLUSION BY A DUAL-DECODED UNET

被引：1

作者：

Wang, Rongfang ^{[1
]}

Wei, Haojiang ^{[1
]}

Wang, Anna ^{[2
]}

Chen, Jia-Wei ^{[1
]}

Huo, Chunlei ^{[3
]}

Niu, Yi ^{[1
]}

机构：

[1] Xidian Univ, Sch Artificial Intelligence, Xian, Peoples R China

[2] Zhejiang Expressway Construct Management Co Ltd, Hangzhou 310020, Peoples R China

[3] Chinese Acad Sci, Inst Automat, NLPR, Beijing, Peoples R China

来源：

IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年

基金：

中国国家自然科学基金;

关键词：

Convolution Neural Network; Dual-Decoder; Road Detection;

D O I：

10.1109/IGARSS52108.2023.10281430

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

It is challenging to perform robust road detection on remote sensing images in a complex scene with occlusions by plants and buildings. In this paper, an elaborate dual-decoded U-Net combined with atrous spatial pyramid pooling is proposed to tackle this scenario. In the proposed network, a dual-decoder structure is designed, where a small decoder aims to extract the attention information and it is delivered to the other decoder to enhance the context. Finally, the proposed method is verified on the DeepGlobe dataset. The experiment results demonstrate that the proposed method outperforms other compared methods.

引用

页码：5716 / 5719

页数：4

共 27 条

[1] AN IMPROVED ALGORITHM FOR AUTOMATIC ROAD DETECTION IN HIGH-RESOLUTION REMOTE SENSING IMAGES BY MEANS OF GEOMETRIC FEATURES AND PATH OPENING [J].

Cao, Guo ;

Wang, Shuang ;

Liu, Yazhou .

2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, :1861-1864

[2] Semi-Automatic Road Detection in High-Resolution Satellite Images [J].

Karaomeroglu, Betul ;

Baseski, Emre .

2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2014, :1869-1872

[3] ROAD DETECTION IN HIGH-RESOLUTION SAR IMAGES USING DUDA AND PATH OPERATORS [J].

Xiao, Fanghong ;

Chen, Yan ;

Tong, Ling ;

He, Lei ;

Tan, Longfei ;

Wu, Baolong .

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, :1266-1269

[4] SNLRUX plus plus for Building Extraction From High-Resolution Remote Sensing Images [J].

Lei, Yanjing ;

Yu, Jiamin ;

Chan, Sixian ;

Wu, Wei ;

Liu, Xiaoying .

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 15 :409-421

[5] A fused road detection approach in high resolution multi-spectrum remote sensing imagery [J].

Yan, DM ;

Zhao, ZM ;

Chen, Z .

IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium, Vols 1-8, Proceedings, 2005, :1557-1560

[6] Road Detection From Remote Sensing Images by Generative Adversarial Networks [J].

Shi, Qian ;

Liu, Xiaoping ;

Li, Xia .

IEEE ACCESS, 2018, 6 :25486-25494

[7] Deep Residual Network Based Road Detection Algorithm for Remote Sensing Images [J].

Fan, Jinhong ;

Yang, Zhengqiu .

2020 5TH INTERNATIONAL CONFERENCE ON MECHANICAL, CONTROL AND COMPUTER ENGINEERING (ICMCCE 2020), 2020, :1723-1726

[8] DenseResSegnet: A Dense Residual Segnet for Road Detection Using Remote Sensing Images [J].

Akhtar, Nadeem ;

Mandloi, Manish .

2023 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE FOR GEOANALYTICS AND REMOTE SENSING, MIGARS, 2023, :233-236

[9] A NOVEL GLOBAL-AWARE DEEP NETWORK FOR ROAD DETECTION OF VERY HIGH RESOLUTION REMOTE SENSING IMAGERY [J].

Lu, Xiaoyan ;

Zhong, Yanfei ;

Zheng, Zhuo .

IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, :2579-2582

[10] ROAD DETECTION FROM REMOTE SENSING IMAGES USING IMPERVIOUS SURFACE CHARACTERISTICS: REVIEW AND IMPLICATION [J].

Singh, Pankaj Pratap ;

Garg, R. D. .

ISPRS TECHNICAL COMMISSION VIII SYMPOSIUM, 2014, 40-8 :955-959

← 1 2 3 →