Citations (9)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (3)
Xianwei Lv, Zhenfeng Shao, Xiao Huang, Wen Zhou, Dongping Ming, Jiaming Wang & Chengzhuo Tong. (2022) BTS: a binary tree sampling strategy for object identification based on deep learning. International Journal of Geographical Information Science 36:4, pages 822-848.
Read now
Read now
Thomas Leduc & Michel Leduc. (2021) Minimum-area ellipse bounding an isovist: towards a 2D GIS-based efficient implementation. International Journal of Geographical Information Science 35:5, pages 869-892.
Read now
Read now
Liangzhi Li, Ling Han, Huijuan Hu, Zhiheng Liu & Hongye Cao. (2020) Standardized object-based dual CNNs for very high-resolution remote sensing image classification and standardization combination effect analysis. International Journal of Remote Sensing 41:17, pages 6635-6663.
Read now
Read now
Articles from other publishers (6)
Yao Yao, Tao Cheng, Zhenhui Sun, Linlong Li, Dongsheng Chen, Ziheng Chen, Jianglin Wei & Qingfeng Guan. (2022) VecLI: A framework for calculating vector landscape indices considering landscape fragmentation. Environmental Modelling & Software 149, pages 105325.
Crossref
Crossref
Şerife Tülin Akkaya Aslan. (2021) Evaluation of land consolidation projects with parcel shape and dispersion. Land Use Policy 105, pages 105401.
Crossref
Crossref
Ce Zhang, Peter M. Atkinson, Charles George, Zhaofei Wen, Mauricio Diazgranados & France Gerard. (2020) Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning. ISPRS Journal of Photogrammetry and Remote Sensing 169, pages 280-291.
Crossref
Crossref
Ce Zhang, Isabel Sargent, Xin Pan, Huapeng Li, Andy Gardiner, Jonathon Hare & Peter M. Atkinson. (2019) Joint Deep Learning for land cover and land use classification. Remote Sensing of Environment 221, pages 173-187.
Crossref
Crossref
Ce Zhang, Isabel Sargent, Xin Pan, Huapeng Li, Andy Gardiner, Jonathon Hare & Peter M. Atkinson. (2018) An object-based convolutional neural network (OCNN) for urban land use classification. Remote Sensing of Environment 216, pages 57-70.
Crossref
Crossref
Zhijia Zheng, Shihong Du, Yi-Chen Wang & Qiao Wang. (2018) Mining the regularity of landscape-structure heterogeneity to improve urban land-cover mapping. Remote Sensing of Environment 214, pages 14-32.
Crossref
Crossref