Multi-scale segmentation of very high resolution remote sensing image based on gravitational field and optimized region merging-Reference-Cited by-同舟云学术

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Multi-scale segmentation of very high resolution remote sensing image based on gravitational field and optimized region merging

Published:2017-03-27 Issue:13 Volume:76 Page:15105-15122
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zhang Ai Zhu,Sun Gen Yun,Liu Si Han,Wang Zhen Jie,Wang Peng,Ma Jing Sheng

Funder

Chinese Natural Science Foundation Projects

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-017-4558-4/fulltext.html

Reference37 articles.

1. Akcay HG, Aksoy S (2008) Automatic detection of geospatial objects using multiple hierarchical segmentations. IEEE Transactions on Geoscience and Remote Sensing 46:2097–2111

2. Arbelaez P, Maire M, Fowlkes C et al (2011) Contour detection and hierarchical image segmentation. IEEE transactions on pattern analysis and machine intelligence 33:898–916

3. Banerjee B, Varma S, Buddhiraju KM et al (2014) Unsupervised multi-spectral satellite image segmentation combining modified mean-shift and a new minimum spanning tree based clustering technique. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7:888–894

4. Beaulieu JM, Goldberg M (1989) Hierarchy in picture segmentation: a stepwise optimization approach. IEEE Trans Pattern Analysis and Machine Intelligence 11:150–163

5. Benz UC, Hofmann P, Willhauck G et al (2004) Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry and Remote Sensing 58:239–258

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