IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2017  > Vol14 No.4
Cultivated land information extraction in UAV imagery based on deep convolutional neural network and transfer learning
LU Heng; FU Xiao; LIU Chao; LI Long-guo; HE Yu-xin; LI Nai-wen
Corresponding AuthorLI Nai-wen
2017-04
Source PublicationJournal of Mountain Science
ISSN1672-6316
Volume14Issue:4Pages:731-741
Subtype期刊论文
AbstractThe development of precision agriculture demands high accuracy and efficiency of cultivated land information extraction. As a new means of monitoring the ground in recent years, unmanned aerial vehicle (UAV) low-height remote sensing technique, which is flexible, efficient with low cost and with high resolution, is widely applied to investing various resources. Based on this, a novel extraction method for cultivated land information based on Deep Convolutional Neural Network and Transfer Learning (DTCLE) was proposed. First, linear features (roads and ridges etc.) were excluded based on Deep Convolutional Neural Network (DCNN). Next, feature extraction method learned from DCNN was used to cultivated land information extraction by introducing transfer learning mechanism. Last, cultivated land information extraction results were completed by the DTCLE and eCognition for cultivated land information extraction (ECLE). The location of the Pengzhou County and Guanghan County, Sichuan Province were selected for the experimental purpose. The experimental results showed that the overall precision for the experimental image 1, 2 and 3 (of extracting cultivated land) with the DTCLE method was 91.7%, 88.1% and 88.2% respectively, and the overall precision of ECLE is 90.7%, 90.5% and 87.0%, respectively. Accuracy of DTCLE was equivalent to that of ECLE, and also outperformed ECLE in terms of integrity and continuity.
KeywordUnmanned Aerial Vehicle Cultivated Land Deep Convolutional Neural Network Transfer Learning Information Extraction
DOI10.1007/s11629-016-3950-2
Indexed BySCI
Language英语
Citation statistics
Cited Times:27[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/18554
CollectionJournal of Mountain Science_Journal of Mountain Science-2017_Vol14 No.4
Recommended Citation
GB/T 7714
LU Heng,FU Xiao,LIU Chao,et al. Cultivated land information extraction in UAV imagery based on deep convolutional neural network and transfer learning[J]. Journal of Mountain Science,2017,14(4):731-741.
APA LU Heng,FU Xiao,LIU Chao,LI Long-guo,HE Yu-xin,&LI Nai-wen.(2017).Cultivated land information extraction in UAV imagery based on deep convolutional neural network and transfer learning.Journal of Mountain Science,14(4),731-741.
MLA LU Heng,et al."Cultivated land information extraction in UAV imagery based on deep convolutional neural network and transfer learning".Journal of Mountain Science 14.4(2017):731-741.
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