Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 148, Issue -, Pages 197-207Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.isprsjprs.2019.01.007
Keywords
High-resolution remote sensing; Image segmentation; Region merging; Seed region; Geographic object-based image analysis
Categories
Funding
- National Natural Science Foundation of China [41601366, 41871235]
- National Science and Technology Major Project of China [21-Y20A06-9001-17/18]
- Natural Science Foundation of Jiangsu Province [BK20160623]
- Open Research Fund of State Key Laboratory of Space-Ground Integrated Information Technology [2016_SGIIT_KFJJ_YG_01]
- Fundamental Research Funds for the Central Universities [020914380040]
Ask authors/readers for more resources
Region merging method is widely used for remote sensing image segmentation in Geographic Object-Based Image Analysis (GEOBIA) because of its simplicity and effectiveness. Instead of improving the merging strategy, similarity measure, and stopping rule for region merging method as usual, we aim at exploring the effectiveness of the seed region shift on region merging-based segmentation. Different region merging procedures with different seed region shift frequencies are compared by fixing other conditions, demonstrating that the shift of seed regions serves as one of the key impacts to segmentation accuracy for region merging method. If the seed regions keep fixed during region merging procedure, it will lead to uneven expansion of regions and consequently low segmentation accuracy. However, if the seed regions can be dynamically shifted during region merging procedure, it will lead to even expansion of regions and achieve similar segmentation performance for different region merging strategies. The findings could be beneficial to selecting or further improving image segmentation method for GEOBIA.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available