Research on hierarchical segmentation method of high-resolution remote sensing image based on minimum spanning tree model

doi:10.11947/j.AGCS.2022.20200439

Acta Geodaetica et Cartographica Sinica ›› 2022, Vol. 51 ›› Issue (2): 316-316.doi: 10.11947/j.AGCS.2022.20200439

• Summary of PhD Thesis • Previous Articles

Research on hierarchical segmentation method of high-resolution remote sensing image based on minimum spanning tree model

LIN Wenjie^1,2

1. School of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China;
2. Pengcheng Laboratory, Shenzhen 518000, China

Received:2020-09-08 Published:2022-02-28

Abstract

CLC Number:

TP751

LIN Wenjie. Research on hierarchical segmentation method of high-resolution remote sensing image based on minimum spanning tree model[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(2): 316-316.

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[3]	HU Xiangyun, GONG Xiaoya, ZHANG Mi. A Variational Approach for Automatic Man-made Object Detection from Remote Sensing Images [J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(6): 780-789.
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[7]	YANG Jinghui. The Generalized Model and Parallel Computing Methods for Pixel-level Remote Sensing Image Fusion [J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(8): 943-943.
[8]	TIAN Yugang, YANG Gui. A Fast Endmember Extraction Algorithm Using Spectrum Gradient Features [J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(2): 214-219.
[9]	ZHANG Yan, LUO Qiangyi, LIU Donghong, LUO Rui. Remote Sensing Images Enhancement Based on Color Transfer and Multi-scale Image Segmentation [J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(1): 76-81.
[10]	MENG Fan, YANG Xiaomei, ZHOU Chenghu. A Novel Approach for Restoration of Low-rank Information from Remote Sensing Images via Matrix Completion [J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(12): 1245-1251,1273.
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[12]	SHAO Yuanjie WU Guoping MA Li. Graph based Semi-Supervised Learning with Class-Probability Distance for Hyperspectral Remote Sensing Image Classification [J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(11): 1182-1189.
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[15]	. Supervised Neighborhood Preserving Embedding Feature Extraction of Hyperspectral Imagery [J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(5): 508-513.

Research on hierarchical segmentation method of high-resolution remote sensing image based on minimum spanning tree model

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