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Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 12 >Page 121003 > Article

Laser & Optoelectronics Progress
Vol. 56, Issue 12, 121003 (2019)

Remote Sensing Image Change Detection Based on Density Attraction and Multi-Scale and Multi-Feature Fusion

Qiuhan Jin^1、2、*, Yangping Wang^1、2、**, and Jingyu Yang^1、2、***

Author Affiliations

¹ School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China

² Gansu Provincial Engineering Research Center for Artificial Intelligence and Graphics & Image Processing, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China;

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DOI: 10.3788/LOP56.121003 Cite this Article Set citation alerts

Qiuhan Jin, Yangping Wang, Jingyu Yang. Remote Sensing Image Change Detection Based on Density Attraction and Multi-Scale and Multi-Feature Fusion[J]. Laser & Optoelectronics Progress, 2019, 56(12): 121003 Copy Citation Text

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References

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[12] Wang D X, Li Y. The hyperspectral image classification method based on improved Markov model[J]. Information & Communications, 29, 16-17(2016).

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[14] Peng Y F, Song X N, Zi L L et al. Remote sensing image retrieval based on convolutional neural network and modified fuzzy C-means[J]. Laser & Optoelectronics Progress, 55, 091008(2018).

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[17] Li Z X, Shi W Z, Zhang H et al. Change detection based on Gabor wavelet features for very high resolution remote sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 14, 783-787(2017). http://ieeexplore.ieee.org/document/7888966/

[18] Zhang H, Shi W Z, Wang Y J et al. Spatial-attraction-based Markov random field approach for classification of high spatial resolution multispectral imagery[J]. IEEE Geoscience and Remote Sensing Letters, 11, 489-493(2014). http://ieeexplore.ieee.org/document/6588895/

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Qiuhan Jin, Yangping Wang, Jingyu Yang. Remote Sensing Image Change Detection Based on Density Attraction and Multi-Scale and Multi-Feature Fusion[J]. Laser & Optoelectronics Progress, 2019, 56(12): 121003

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