[1] X. Jia, S. Li, A. Khandelwal, G. Nayak, A. Karpatne, and V. Kumar, "Spatial context-aware networks for mining temporal discriminative period in land cover detection," in Proceedings of the 2019 SIAM International Conference on Data Mining, 2019, pp. 513-521.
[2] V. N. Mishra, V. Kumar, R. Prasad, and M. Punia, "Geographically Weighted Method Integrated with Logistic Regression for Analyzing Spatially Varying Accuracy Measures of Remote Sensing Image Classification," Journal of the Indian Society of Remote Sensing, vol. 49, pp. 1189-1199, 2021.
[3] H. You, S. Tian, L. Yu, and Y. Lv, "Pixel-level remote sensing image recognition based on bidirectional word vectors," IEEE Transactions on Geoscience and Remote Sensing, vol. 58, pp. 1281-1293, 2019.
[4] Y. Xue, T. Li, Z. Liu, C. Pang, M. Li, Z. Liao, et al., "A new approach for the deep order preserving submatrix problem based on sequential pattern mining," International Journal of Machine Learning and Cybernetics, vol. 9, pp. 263-279, 2018.
[5] L. Zhang, Z. Liu, T. Ren, D. Liu, Z. Ma, L. Tong, et al., "Identification of seed maize fields with high spatial resolution and multiple spectral remote sensing using random forest classifier," Remote Sensing, vol. 12, p. 362, 2020.
[6] C. Wu, X. Li, W. Chen, and X. Li, "A review of geological applications of high-spatial-resolution remote sensing data," Journal of Circuits, Systems and Computers, vol. 29, p. 2030006, 2020.
[7] B. K. Wylie, N. J. Pastick, J. J. Picotte, and C. A. Deering, "Geospatial data mining for digital raster mapping," GIScience & Remote Sensing, vol. 56, pp. 406-429, 2019.
[8] W. Gan, J. C.-W. Lin, P. Fournier-Viger, H.-C. Chao, and P. S. Yu, "A survey of parallel sequential pattern mining," ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 13, pp. 1-34, 2019.
[9] C. Zhang, S. Wei, S. Ji, and M. Lu, "Detecting large-scale urban land cover changes from very high resolution remote sensing images using CNN-based classification," ISPRS International Journal of Geo-Information, vol. 8, p. 189, 2019.
[10] X. Xu, Y. Chen, J. Zhang, Y. Chen, P. Anandhan, and A. Manickam, "A novel approach for scene classification from remote sensing images using deep learning methods," European Journal of Remote Sensing, vol. 54, pp. 383-395, 2021.
[11] Z. He, S. Zhang, and J. Wu, "Significance-based discriminative sequential pattern mining," Expert Systems with Applications, vol. 122, pp. 54-64, 2019.
[12] G. Cai, K. Lee, and I. Lee, "Itinerary recommender system with semantic trajectory pattern mining from geo-tagged photos," Expert Systems with Applications, vol. 94, pp. 32-40, 2018.
[13] P. Tiwari and P. K. Shukla, "A review on various features and techniques of crop yield prediction using geo-spatial data," International Journal of Organizational and Collective Intelligence (IJOCI), vol. 9, pp. 37-50, 2019.
[14] J. Wei, L. Mi, Y. Hu, J. Ling, Y. Li, and Z. Chen, "Effects of Lossy Compression on Remote Sensing Image Classification Based on Convolutional Sparse Coding," IEEE Geoscience and Remote Sensing Letters, 2021.
[15] X. Wu and X. Zhang, "An efficient pixel clustering-based method for mining spatial sequential patterns from serial remote sensing images," Computers & Geosciences, vol. 124, pp. 128-139, 2019.
[16] W. Jing, S. Huo, Q. Miao, and X. Chen, "A model of parallel mosaicking for massive remote sensing images based on spark," IEEE Access, vol. 5, pp. 18229-18237, 2017.
[17] J. Zhang, S. Lin, L. Ding, and L. Bruzzone, "Multi-scale context aggregation for semantic segmentation of remote sensing images," Remote Sensing, vol. 12, p. 701, 2020.
[18] L. Ding, H. Tang, and L. Bruzzone, "LANet: Local attention embedding to improve the semantic segmentation of remote sensing images," IEEE Transactions on Geoscience and Remote Sensing, 2020.
[19] J. Song, H. Zhang, X. Li, L. Gao, M. Wang, and R. Hong, "Self-supervised video hashing with hierarchical binary auto-encoder," IEEE Transactions on Image Processing, vol. 27, pp. 3210-3221, 2018.
[20] J. Song, Y. Guo, L. Gao, X. Li, A. Hanjalic, and H. T. Shen, "From deterministic to generative: Multimodal stochastic RNNs for video captioning," IEEE transactions on neural networks and learning systems, vol. 30, pp. 3047-3058, 2018.
[21] H. Gao, Y. Tang, L. Jing, H. Li, and H. Ding, "A novel unsupervised segmentation quality evaluation method for remote sensing images," Sensors, vol. 17, p. 2427, 2017.
[22] Z. Zhang, Q. He, H. Tong, J. Gou, and X. Li, "Spatial-temporal traffic flow pattern identification and anomaly detection with dictionary-based compression theory in a large-scale urban network," Transportation Research Part C: Emerging Technologies, vol. 71, pp. 284-302, 2016.
[23] P. Das and V. Pandey, "Use of logistic regression in land-cover classification with moderate-resolution multispectral data," Journal of the Indian Society of Remote Sensing, vol. 47, pp. 1443-1454, 2019.
[24] F. Al-Ahmadi and A. Hames, "Comparison of four classification methods to extract land use and land cover from raw satellite images for some remote arid areas, Kingdom of Saudi Arabia," Earth, vol. 20, pp. 167-191, 2009.
[25] D. Menaka, L. Padmasuresh, and S. Selvin Prem Kumar, "Classification of multispectral satellite images using sparse SVM classifier," Indian J Sci Technol, vol. 8, pp. 1-7, 2015.
[26] X. Lyu and H. Ma, "An efficient incremental mining algorithm for discovering sequential pattern in wireless sensor network environments," Sensors, vol. 19, p. 29, 2019.
[27] X. Dong, Z. Zheng, L. Cao, Y. Zhao, C. Zhang, J. Li, et al., "e-NSP: efficient negative sequential pattern mining based on identified positive patterns without database rescanning," in Proceedings of the 20th ACM international conference on Information and knowledge management, 2011, pp. 825-830.
[28] H. Shen, Y. Lin, Q. Tian, K. Xu, and J. Jiao, "A comparison of multiple classifier combinations using different voting-weights for remote sensing image classification," International journal of remote sensing, vol. 39, pp. 3705-3722, 2018.
[29] D. Ye, Y. Li, C. Tao, X. Xie, and X. Wang, "Multiple feature hashing learning for large-scale remote sensing image retrieval," ISPRS International Journal of Geo-Information, vol. 6, p. 364, 2017.
[30] M. Häberle, M. Werner, and X. X. Zhu, "Geo-spatial text-mining from Twitter–a feature space analysis with a view toward building classification in urban regions," European journal of remote sensing, vol. 52, pp. 2-11, 2019.
[31] X. Zhang, R. Liu, F. Gan, W. Wang, L. Ding, and B. Yan, "Evaluation of Spatial-Temporal Variation of Vegetation Restoration in Dexing Copper Mine Area Using Remote Sensing Data," in IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium, pp. 2013-2016.
[32] R. A. Preethi and G. Anandharaj, "Quantized ternary pattern and singular value decomposition for the efficient mining of sequences in SRSI images," SN Applied Sciences, vol. 2, pp. 1-14, 2020.