A Machine Learning-Based Semantic Pattern Matching Model for Remote Sensing Data Registration-Reference-Cited by-同舟云学术

A Machine Learning-Based Semantic Pattern Matching Model for Remote Sensing Data Registration

Published:2022-09-06 Issue:12 Volume:50 Page:2303-2316
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Jaber Mustafa Musa,Ali Mohammed Hasan,Abd Sura Khalil,Jassim Mustafa Mohammed,Alkhayyat Ahmed,Alreda Baraa A.,Alkhuwaylidee Ahmed Rashid,Alyousif Shahad

Publisher

Springer Science and Business Media LLC

Subject

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

Link

https://link.springer.com/content/pdf/10.1007/s12524-022-01604-w.pdf

Reference26 articles.

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3. Cao, Z., Diao, W., Sun, X., Lyu, X., Yan, M., & Fu, K. (2021). C3Net: Cross-modal feature recalibrated, cross-scale semantic aggregated and compact network for semantic segmentation of multimodal high-resolution aerial images. Remote Sensing, 13(3), 528.

4. Chen, F., Liu, H., Zeng, Z., Zhou, X., & Tan, X. (2022). BES-Net: Boundary enhancing semantic context network for high-resolution image semantic segmentation. Remote Sensing, 14(7), 1638.

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