Semi Automatic Road Extraction by Fusion of High Resolution Optical and Radar Images-Reference-Cited by-同舟云学术

Semi Automatic Road Extraction by Fusion of High Resolution Optical and Radar Images

Published:2015-10-21 Issue:1 Volume:44 Page:21-29
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Khesali Elahe,Zoej Mohammad Javad Valadan,Mokhtarzade Mehdi,Dehghani Maryam

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Link

http://link.springer.com/content/pdf/10.1007/s12524-015-0480-2.pdf

Reference13 articles.

1. Al-Ali, M. (2011). Assessment of high resolution SAR imagery for mapping flood plain water bodies: a comparison between Radarsat-2 and TerraSAR-X, Ph D thesis, Department of Geography Durham University.

2. Dekker, R. J. (2008). Road extraction and network building from synthetic aperture,radar images using apriori information, TNO Defence, Security and Safety, PO Box 96864, 2509 JG The Hague, The Netherlands.

3. Haralick, R., & Shanmugam, K. (1973). Textural features for image classification. IEEE Transactions on Systems, Man, and Cybernetics, 3(6), 610–621.

4. Hedman, K., Wessel, B., & Stilla, U. (2005). A fusion strategy for extracted road networks from multi aspect SAR images. Photogrammetry and remote sensing, Technische Universitaet Muenchen, Arcisstrasse 21, 80333 Muenchen, Germany.

5. Mena, J. B. (2003). “State of the art on automatic road extraction for GIS update: a novel classification “ pattern recognition letters, 24 3037–58.

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AM-UNet: Road Network Extraction from high-resolution Aerial Imagery Using Attention-Based Convolutional Neural Network;Journal of the Indian Society of Remote Sensing;2024-08-21

2. An improved self-training network for building and road extraction in urban areas by integrating optical and radar remotely sensed data;Earth Science Informatics;2024-03-15

3. Multiscale Feature Extraction by Using Convolutional Neural Network: Extraction of Objects from Multiresolution Images of Urban Areas;ISPRS International Journal of Geo-Information;2023-12-21

4. Advancements in Image Recognition for Urban Land Use: Multi-Scale CNN Extraction;2023 10th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI);2023-09-20

5. NEAR SURFACE AIR TEMPERATURE ESTIMATION THROUGH PARAMETRIZATION OF MODIS PRODUCTS;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2023-01-13