Author:
Kokila S.,Jayachandran A.
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development
Reference23 articles.
1. Anastasios T, Eftychios P, Anastasios D, Nikos T, (2021) Building Extraction from RGB Satellite Images using Deep Learning: A U-Net Approach. In The 14th PErvasive Technologies Related to Assistive Environments Conference, pp. 391–395
2. Chen G, Zhang Y, Cai Z, Li X (2021) The building recognition and analysis of remote sensing image based on depth belief network. In: Cognitive Systems Research. Elsevier
3. Chen F, Wang N, Bo Y, Wang L (2022) Res2-Unet, a new deep architecture for building detection from high spatial resolution images. IEEE J Sel Top Appl Earth Observations and Remote Sensing 15
4. Dixit M, Chaurasia K, Mishra VK (2021) Dilated-ResUnet: a novel deep learning architecture for building extraction from medium resolution multi-spectral satellite imagery. Expert Syst Appl:115530
5. Fukun BI, Mingyang Lei, Zhihua Yang, Jinyuan Hou and Yanyan Qin, “Detecting designated building areas from remote sensing images using hierarchical structural constraints”, Photonic Sensors, Aug 2019 45-56.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献