References
- Arbelaez, P., M. Maire, C. Fowlkes, and J. Malik. 2010. “Contour Detection and Hierarchical Image Segmentation.” IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (5): 898–916. doi:https://doi.org/10.1109/TPAMI.2010.161.
- Benz, U. C., P. Hofmann, G. Willhauck, I. Lingenfelder, and M. Heynen. 2004. “Multi-resolution, Object-oriented Fuzzy Analysis of Remote Sensing Data for GIS-ready Information.” ISPRS Journal of Photogrammetry and Remote Sensing 58 (3–4): 239–258. doi:https://doi.org/10.1016/j.isprsjprs.2003.10.002.
- Bischke, B., P. Helber, J. Folz, D. Borth, and A. Dengel. 2019. “Multi-task Learning for Segmentation of Building Footprints with Deep Neural Networks.” Paper presented at the Proc. Int. Conf. Image Process. ICIP, Taipei, Taiwan.
- Blaschke, T. 2010. “Object Based Image Analysis for Remote Sensing.” ISPRS Journal of Photogrammetry and Remote Sensing 65 (1): 2–16. doi:https://doi.org/10.1016/j.isprsjprs.2009.06.004.
- Canny, J. 1986. “A Computational Approach to Edge Detection.” IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-8 (6): 679–698. doi:https://doi.org/10.1109/TPAMI.1986.4767851.
- Carleer, A. P., O. Debeir, and E. Wolff. 2005. “Assessment of Very High Spatial Resolution Satellite Image Segmentations.” Photogrammetric Engineering & Remote Sensing 71 (11): 1285–1294. doi:https://doi.org/10.14358/PERS.71.11.1285.
- Comaniciu, D., and P. Meer. 2002. “Mean Shift: A Robust Approach toward Feature Space Analysis.” IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (5): 603–619. doi:https://doi.org/10.1109/34.1000236.
- Dai, J., H. Kaiming, and J. Sun. 2016. “Instance-aware Semantic Segmentation via Multi-task Network Cascades.” Paper presented at the IEEE Conf. Comput. Vis. Pattern Recogn. CVPR. Las Vegas, NV, USA.
- De Jong, S. M., and F. D. Van der Meer. 2007. Remote Sensing Image Analysis: Including the Spatial Domain. Vol. 5. Springer Science & Business Media, Berlin, Heidelberg, Germany.
- Deng, J., W. Dong, R. Socher, L. Li-Jia, L. Kai, and L. Fei-Fei. 2009. “Imagenet: A Large-scale Hierarchical Image Database.” Paper presented at the IEEE Conf. Comput. Vis. Pattern Recogn. CVPR, Miami, FL, USA.
- Dollár, P., and C. Lawrence Zitnick. 2014. “Fast Edge Detection Using Structured Forests.” IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (8): 1558–1570. doi:https://doi.org/10.1109/TPAMI.2014.2377715.
- Drăguţ, L., O. Csillik, C. Eisank, and D. Tiede. 2014. “Automated Parameterisation for Multi-scale Image Segmentation on Multiple Layers.” ISPRS Journal of Photogrammetry and Remote Sensing 88: 119–127. doi:https://doi.org/10.1016/j.isprsjprs.2013.11.018.
- Everingham, M., S. M. Ali Eslami, V. G. Luc, C. K. I. Williams, J. Winn, and A. Zisserman. 2015. “The Pascal Visual Object Classes Challenge: A Retrospective.” International Journal of Computer Vision 111 (1): 98–136. doi:https://doi.org/10.1007/s11263-014-0733-5.
- Gaetano, R., G. Masi, G. Poggi, L. Verdoliva, and G. Scarpa. 2014. “Marker-controlled Watershed-based Segmentation of Multiresolution Remote Sensing Images.” IEEE Transactions on Geoscience and Remote Sensing 53 (6): 2987–3004. doi:https://doi.org/10.1109/TGRS.2014.2367129.
- Gao, W., X. Zhang, L. Yang, and H. Liu. 2010. “An Improved Sobel Edge Detection”. Paper presented at the 2010 3rd International conference on computer science and information technology, Chengdu, China.
- Hamarneh, G., and L. Xiaoxing. 2009. “Watershed Segmentation Using Prior Shape and Appearance Knowledge.” Image and Vision Computing 27 (1–2): 59–68. doi:https://doi.org/10.1016/j.imavis.2006.10.009.
- Hay, G. J., and G. Castilla. 2008. “Geographic Object-Based Image Analysis (GEOBIA): A New Name for A New Discipline.” In Object-based Image Analysis: Spatial Concepts for Knowledge-Driven Remote Sensing Applications, edited by Thomas Blaschke, Stefan Lang and Geoffrey J. Hay, 75–89. Berlin, Heidelberg: Springer Berlin Heidelberg.
- He, J., S. Zhang, M. Yang, Y. Shan, and T. Huang. 2019. “Bi-directional Cascade Network for Perceptual Edge Detection.” Paper presented at the IEEE Conf. Comput. Vis. Pattern Recogn., CVPR, Long Beach, CA, USA.
- He, K., X. Zhang, S. Ren, and J. Sun. 2016. “Deep Residual Learning for Image Recognition.” Paper presented at the IEEE Conf. Comput. Vis. Pattern Recogn., CVPR, Las Vegas, NV, USA.
- Hosang, J., R. Benenson, and B. Schiele. 2017. “Learning Non-maximum Suppression.” Paper presented at the IEEE Conf. Comput. Vis. Pattern Recogn., CVPR, Honolulu, HI, USA.
- Kaiming, H., G. Gkioxari, P. Dollár, and R. Girshick. 2017. “Mask R-cnn.” Paper presented at the Proc IEEE IntConf Comput Vision, Venice, Italy.
- Kelkar, D., and S. Gupta. 2008. “Improved Quadtree Method for Split Merge Image Segmentation.” Paper presented at the Int. Conf. Emerg. Trends Eng. Technol., ICETET ,Nagpur, India.
- Kokkinos, I. 2015. “Pushing the Boundaries of Boundary Detection Using Deep Learning.” arXiv preprint arXiv:1511.07386.
- Lee, C.-Y., S. Xie, P. Gallagher, Z. Zhang, and Z. Tu. 2015. “Deeply-supervised Nets.” Paper presented at the Artificial intelligence and statistics, San Diego, CA, USA.
- Li, Y., Q. Haozhi, J. Dai, J. Xiangyang, and Y. Wei. 2017. “Fully Convolutional Instance-aware Semantic Segmentation.” Paper presented at the IEEE Conf. Comput. Vis. Pattern Recogn., CVPR, Honolulu, HI, USA.
- Liu, L., and S. Sclaroff. 2001. “Region Segmentation via Deformable Model-guided Split and Merge.” Paper presented at the Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, Vancouver, BC, Canada.
- Liu, S., Q. Lu, H. Qin, J. Shi, and J. Jia. 2018a. “Path Aggregation Network for Instance Segmentation.” Paper presented at the IEEE Conf. Comput. Vis. Pattern Recogn., CVPR, Salt Lake City, UT, USA.
- Liu, Y., -M.-M. Cheng, D.-P. Fan, L. Z. JiaWang Bian, and D. Tao. 2018b. “Semantic Edge Detection with Diverse Deep Supervision.” arXiv preprint arXiv:1804.02864.
- Liu, Y., -M.-M. Cheng, H. Xiaowei, K. Wang, and X. Bai. 2017. “Richer Convolutional Features for Edge Detection.” Paper presented at the IEEE Conf. Comput. Vis. Pattern Recogn., CVPR, Honolulu, HI, USA.
- Long, J., E. Shelhamer, and T. Darrell. 2015. “Fully Convolutional Networks for Semantic Segmentation.” Paper presented at the IEEE Conf. Comput. Vis. Pattern Recogn., CVPR, Boston, MA, USA.
- Lu, T., D. Ming, X. Lin, Z. Hong, X. Bai, and J. Fang. 2018. “Detecting Building Edges from High Spatial Resolution Remote Sensing Imagery Using Richer Convolution Features Network.” Remote Sensing 10 (9): 1496. doi:https://doi.org/10.3390/rs10091496.
- Lv, Z., T. Liu, and C. Shi. 2020. “Local Histogram-Based Analysis for Detecting Land Cover Change Using VHR Remote Sensing Images.” IEEE Geoscience and Remote Sensing Letters 58 (9): 6524–6533. doi:https://doi.org/10.1109/LGRS.2020.2998684.
- Marmanis, D., K. Schindler, J. D. Wegner, S. Galliani, M. Datcu, and U. Stilla. 2018. “Classification with an Edge: Improving Semantic Image Segmentation with Boundary Detection.” ISPRS Journal of Photogrammetry and Remote Sensing 135: 158–172. doi:https://doi.org/10.1016/j.isprsjprs.2017.11.009.
- Martin, D. R., C. C. Fowlkes, and J. Malik. 2004. “Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues.” IEEE Transactions on Pattern Analysis and Machine Intelligence 26 (5): 530–549. doi:https://doi.org/10.1109/TPAMI.2004.1273918.
- Michel, J., D. Youssefi, and M. Grizonnet. 2014. “Stable Mean-shift Algorithm and Its Application to the Segmentation of Arbitrarily Large Remote Sensing Images.” IEEE Transactions on Geoscience and Remote Sensing 53 (2): 952–964. doi:https://doi.org/10.1109/TGRS.2014.2330857.
- Peng, S., W. Jiang, P. Huaijin, L. Xiuli, H. Bao, and X. Zhou. 2020. “Deep Snake for Real-Time Instance Segmentation.” Paper presented at the IEEE Conf. Comput. Vis. Pattern Recogn., CVPR, Seattle, WA, USA.
- Poma, X. S., E. Riba, and A. Sappa. 2020. “Dense Extreme Inception Network: Towards a Robust Cnn Model for Edge Detection.” Paper presented at the Proc. - IEEE Winter Conf. Appl. Comput. Vis. Workshops, WACVW, Snowmass, CO, USA.
- Pont-Tuset, J., P. Arbelaez, J. T. Barron, F. Marques, and J. Malik. 2016. “Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation.” IEEE Trans Pattern Anal Mach Intell 39 (1): 128–140. doi:https://doi.org/10.1109/TPAMI.2016.2537320.
- Reda, K., and M. Kedzierski. 2020. “Detection, Classification and Boundary Regularization of Buildings in Satellite Imagery Using Faster Edge Region Convolutional Neural Networks.” Remote Sensing 12 (14): 2240. doi:https://doi.org/10.3390/rs12142240.
- Ren, X. 2008. “Multi-scale Improves Boundary Detection in Natural Images.” Paper presented at the European conference on computer vision, Marseille, France.
- Shen, W., X. Wang, Y. Wang, X. Bai, and Z. Zhang. 2015. “Deep contour: A Deep Convolutional Feature Learned by Positive-sharing Loss for Contour Detection.” Paper presented at the IEEE Conf. Comput. Vis. Pattern Recogn., CVPR, Boston, MA, USA.
- Shi, J., and J. Malik. 2000. “Normalized Cuts and Image Segmentation.” IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (8): 888–905. doi:https://doi.org/10.1109/34.868688.
- Simonyan, K., and A. Zisserman. 2014. “Very Deep Convolutional Networks for Large-scale Image Recognition.” arXiv preprint arXiv:1409.1556.
- Waldner, F., and F. I. Diakogiannis. 2020. “Deep Learning on Edge: “Extracting Field Boundaries from Satellite Images with a Convolutional Neural Network.” Remote Sensing of Environment 245: 111741. doi:https://doi.org/10.1016/j.rse.2020.111741.
- Xie, S., and Z. Tu. 2015. “Holistically-nested Edge Detection.” Paper presented at the Proc IEEE IntConf Comput Vision, Santiago, Chile.
- Yang, G., Q. Zhang, and G. Zhang. 2020. “EANet: Edge-aware Network for the Extraction of Buildings from Aerial Images.” Remote Sensing 12 (13): 2161. doi:https://doi.org/10.3390/rs12132161.
- Yang, J., J. Caspersen, and Yuhong. 2017. “Region Merging Using Local Spectral Angle Thresholds: A More Accurate Method for Hybrid Segmentation of Remote Sensing Images.” Remote Sensing of Environment: An Interdisciplinary Journal 190: 137–148. doi:https://doi.org/10.1016/j.rse.2016.12.011.
- Yuan, J., D. Wang, and L. Rongxing. 2013. “Remote Sensing Image Segmentation by Combining Spectral and Texture Features.” IEEE Transactions on Geoscience and Remote Sensing 52 (1): 16–24. doi:https://doi.org/10.1109/TGRS.2012.2234755.
- ZhiYong, L., T. Liu, J. A. Benediktsson, and N. Falco. 2021. “Land Cover Change Detection Techniques: Very-high-resolution Optical Images: A Review.” IEEE Geoscience and Remote Sensing Magazine. doi:https://doi.org/10.1109/MGRS.2021.3088865.
- Zhou, L., C. Zhang, and W. Ming 2018. “D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction.” Paper presented at the IEEE Conf. Comput. Vis. Pattern Recogn., CVPR, Salt Lake City, UT, USA.