Fusing muti-scale segmentation into CART algorithm on coal gangue extraction

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (22): 222-225.

Previous Articles Next Articles

Fusing muti-scale segmentation into CART algorithm on coal gangue extraction

ZHAO Hui1，2, WANG Yunjia1，2

1.School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China
2.Key Laboratory for Land Environment and Disaster Monitoring of SBSM, China University of Mining and Technology, Xuzhou, Jiangsu 221116, China

Online:2012-08-01 Published:2012-08-06

融合多尺度分割与CART算法的矸石山提取

赵慧1，2，汪云甲1，2

1.中国矿业大学环境与测绘学院，江苏徐州 221116
2.中国矿业大学国土环境与灾害监测国家测绘局重点实验室，江苏徐州 221116

Abstract

Abstract: Considering the properties of muti-scale segmentation and CART, a method for information extraction is proposed in this paper. Integrating small-scale segmentation with big-scale segmentation, the remote sensing image is segmented into a series of homogenous regions through watershed transformation and region merging process. The region-based information extraction is performed by utilizing CART after sample selection. Experimental results indicate that the proposed information extraction method depresses the image noise effectively, the extraction accuracy is improved and more interpretable result can also be achieved.

Key words: muti-scale segmentation, Classification and Regression Tree（CART）, coal gangue, information extraction

摘要： 结合多尺度分割和CART算法的特性，提出一种新的目标信息提取方法。其基本思想是将小尺度分割与大尺度分割相结合，将影像分割成一系列同质性对象；以同质性对象为基本单元选择训练样本，后利用CART算法提取目标信息。实验结果表明：与单纯像素级的CART算法相比，该方法可有效减少提取结果的噪声，一定程度上排除了其他地类对目标信息的干扰，提取精度显著提高。

关键词: 多尺度分割, 分类和回归树（CART）, 矸石山, 目标提取

ZHAO Hui1，2, WANG Yunjia1，2. Fusing muti-scale segmentation into CART algorithm on coal gangue extraction[J]. Computer Engineering and Applications, 2012, 48(22): 222-225.

赵慧1，2，汪云甲1，2. 融合多尺度分割与CART算法的矸石山提取[J]. 计算机工程与应用, 2012, 48(22): 222-225.

[1]	WEI Hao, ZHOU Ai, ZHANG Yijia, CHEN Fei, QU Wen, LU Mingyu. Review of Deep Learning-Based Biomedical Entity Relation Extraction Research [J]. Computer Engineering and Applications, 2021, 57(21): 14-23.
[2]	WU Cheng, WANG Chaokun, WANG Muxian. Entity Attributes Extraction Based on Text Simplification [J]. Computer Engineering and Applications, 2020, 56(21): 115-122.
[3]	HUANG Cheng1，2, LIU Jiayong1, LIU Liang1, HE Xiang1, TANG Dianhua2. Research on extraction model of malicious domain corpus based on context semantics [J]. Computer Engineering and Applications, 2018, 54(9): 101-108.
[4]	WANG Haiyong, FENG Zhaoxu, YANG Haibo, ZHANG Jindong. Research on text extraction algorithm based on structure similarity page clustering [J]. Computer Engineering and Applications, 2018, 54(11): 122-127.
[5]	DU Boyuan1, WANG Meiqing1, CHEN Changfu2, CHEN Fei1. Tags extraction for Web information based on structure consistency and feature learning [J]. Computer Engineering and Applications, 2017, 53(7): 74-78.
[6]	ZHAO Xiaoyong, WANG Lei. Product specification auto extract method of e-commerce websites [J]. Computer Engineering and Applications, 2017, 53(24): 168-171.
[7]	GU Nannan, FENG Jun, SUN Xia, ZHAO Yan, ZHANG Lei. Chinese resume information automatic extraction and recommendation algorithm [J]. Computer Engineering and Applications, 2017, 53(18): 141-148.
[8]	SUN Hongmin, JIANG Nannan, LI Xiang. Research on biological information mining model based on document set [J]. Computer Engineering and Applications, 2016, 52(24): 102-106.
[9]	YI Zheng, XU Wuping, XU Aiping. Discovery method of webpage subject area based on structural analysis [J]. Computer Engineering and Applications, 2015, 51(6): 227-230.
[10]	HUANG Yanjiao, WU Qin, LIANG Jiuzhen. Boosted constrained conditional random fields for Web object information extraction [J]. Computer Engineering and Applications, 2015, 51(23): 143-148.
[11]	QIAO Naosheng1, ZHANG Fen2. Method of defect image edge information extraction of printed circuit board [J]. Computer Engineering and Applications, 2015, 51(20): 11-15.
[12]	ZHANG Feifei1, LI Zonghai2, ZHOU Xiaohui1, LI Xiaoge1,2. Cross-document Chinese personal name entity disambiguation based on hierarchical clustering [J]. Computer Engineering and Applications, 2014, 50(6): 106-111.
[13]	CHANG Lei1, LU Yang1, WU Lei1，2. PDF document across terminal publishing technology [J]. Computer Engineering and Applications, 2014, 50(22): 158-162.
[14]	LI Jia, XU Qian, WANG Zi, CHEN Zhao. Forest products trading Web messages extraction algorithm based on semantic [J]. Computer Engineering and Applications, 2014, 50(19): 199-204.
[15]	YAN Jining1，2，3, ZHOU Kefa1，2, WANG Jinlin1, WANG Shanshan1, WANG Wei1, LI Dong1，2，3. Extraction of hyper-spectral remote sensing alteration information based on SAM and SVM [J]. Computer Engineering and Applications, 2013, 49(19): 141-146.

Fusing muti-scale segmentation into CART algorithm on coal gangue extraction

融合多尺度分割与CART算法的矸石山提取

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics