遥感技术与应用 2022, Vol. 37 Issue (2): 333-341 DOI: 10.11873/j.issn.1004-0323.2022.2.0333 |
LUCC专栏 |
|
|
|
|
基于样本迁移的干旱区地表覆盖快速更新 |
盖一铭1,2,3( ),阿里木·赛买提1,2,3,王伟1,2,3,吉力力·阿不都外力1,2,3( ) |
1.中国科学院新疆生态与地理研究所 荒漠与绿洲生态国家重点实验室,新疆 乌鲁木齐 830011 2.中国科学院大学,北京 10049 3.中国科学院中亚生态环境研究中心,新疆 乌鲁木齐 830011 |
|
Sample Transferring based Fast Land Cover Updating in Arid Land |
Yiming Gai1,2,3( ),Samat Alim1,2,3,Wei Wang1,2,3,Abuduwaili Jilili1,2,3( ) |
1.State Key Laboratory of Desert and Oasis Ecology,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China 2.University of Chinese Academy of Sciences,Beijing 10049,China 3.Chinese Academy of Sciences Research Center for Ecology and Environment of Central Asia,Urumqi 830011,China |
引用本文:
盖一铭,阿里木·赛买提,王伟,吉力力·阿不都外力. 基于样本迁移的干旱区地表覆盖快速更新[J]. 遥感技术与应用, 2022, 37(2): 333-341.
Yiming Gai,Samat Alim,Wei Wang,Abuduwaili Jilili. Sample Transferring based Fast Land Cover Updating in Arid Land. Remote Sensing Technology and Application, 2022, 37(2): 333-341.
链接本文:
http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2022.2.0333
或
http://www.rsta.ac.cn/CN/Y2022/V37/I2/333
|
1 |
Grimm N B, Faeth S H, Golubiewski N E, et al. Global change and the ecology of cities[J].Science,2008,319(5864): 756-60. DOI: 10.1126/science.1150195 .
doi: 10.1126/science.1150195
|
2 |
Fischer M, Bossdorf O, Gockel S, et al. Implementing large-scale and long-term functional biodiversity research: The Biodiversity Exploratories[J]. Basic and Applied Ecology, 2010, 11(6): 473-485.
|
3 |
Stehman S V, Foody G M. Key issues in rigorous accuracy assessment of land cover products[J/OL]. Remote Sensing of Environment,2019,23123..
|
4 |
Du P J, Bai X, Tan K, et al. Advances of four machine larning methods for spatial data handling: A review[J/OL]. Journal of Geovisualization and Spatial Analysis, 2020, 4(1): https:∥DOI.org/10.1007/s41651-020-00048-5.
|
5 |
Du Peijun, Xia Junshi, Xue Zhaohui, et al. Review of hyperspectral remote sensing image classification[J]. Journal of Remote Sensing, 2016, 20(2): 236-256.
|
5 |
杜培军, 夏俊士, 薛朝辉. 高光谱遥感影像分类研究进展[J]. 遥感学报, 2016, 20(2): 236-256.
|
6 |
Wu Tianjun, Luo Jiancheng, Xia Liegang, et al. An automatic sample collection method for object-oriented classification of remotely sensed imageries based on transfer learning[J]. Acta Geodetica et Cartographica Sinica,2014,43(9):908-916.
|
6 |
吴田军,骆剑承,夏列钢.迁移学习支持下的遥感影像对象级分类样本自动选择方法[J].测绘学报,2014,43(9): 908-916.
|
7 |
Lin Cong, Li Erzhu, Du Peijun. An automatic approach for remote sensing classification supported by Sample Transfer[J]. Bulletin of Surveying and Mapping, 2018(4): 57-62.
|
7 |
林聪, 李二珠, 杜培军. 样本迁移支持下的遥感影像自动分类方法[J]. 测绘通报, 2018(4):57-62.
|
8 |
Liu Wanjun, Li Tianhui, Qu Haicheng. Hyperspectral similar sample classification algorithm based on fisher criterion and TrAdaboost[J].Remote Sensing for Land & Resources,2018,30(4):41-48.
|
8 |
刘万军, 李天慧, 曲海成. 基于Fisher准则和TrAdaboost的高光谱相似样本分类算法[J]. 国土资源遥感, 2018,30(4):41-48.
|
9 |
Pan H, Tong X, Xu X, et al. Updating of land cover maps and change analysis using GlobeLand30 product: A case study in Shanghai metropolitan area,China[J]. Remote Sensing,2020,12(19): https:∥DOI.org/10.3390/rs12193147.
|
10 |
Song A, Choi J. Fully convolutional networks with multiscale 3D filters and Transfer Learning for change detection in high spatial resolution satellite images[J]. Remote Sensing, 2020, 12(5). .
|
11 |
De Lima R P, Marfurt K. Convolutional neural Network for remote sensing scene classification: Transfer Learning Analysis[J]. Remote Sensing,2020,12(1):20. .
|
12 |
Gu Chunxia, Li Dacheng. Application of spatio-temporal fusion technology in time series classification of regional land cover[J]. Bulletin of Surveying and Mapping, 2021(5): 20-24.
|
12 |
古春霞,李大成.时空融合技术在区域地表覆盖时序分类中的应用[J].测绘通报,2021(5):20-24.
|
13 |
Li Binbin, Xie Huan, Tong Xiaohua, et al. Land cover classification using ICESat-2 data with random forest[J]. Infrared and Laser Engineering, 2020, 49(11): 115-121.
|
13 |
李彬彬, 谢欢, 童小华, 等. 基于随机森林的ICESat-2卫星数据地表覆盖分类[J]. 红外与激光工程, 2020, 49(11): 115-121.
|
14 |
Li Bing, Lu Xiaoping, Li Xinshe, et al. Extraction method of wetland surface factors using GF-2 images on optimal features[J]. Geomatics & Sptial Information Technolog, 2018,41(9):49-52.
|
14 |
李冰,卢小平,李新社,等.特征优选的GF-2影像湿地地表覆盖要素提取[J].测绘与空间地理信息,2018,41(9):49-52.
|
15 |
Oshiro T M, Perez P S, Baranauskas J A. How many trees in a random forest[C]∥ Proceedings of the Machine Learning and Data Mining in Pattern Recognition, F, 2012.
|
16 |
Bernard S, Heutte L, Adam S. On the selection of decision trees in Random Forests[C]∥ Proceedings of the International Joint Conference on Neural Network, F, 2009.
|
17 |
Abdelali Z, Hicham M, Abdelwahed N. An Ensemble of Optimal Trees for Software Development Effort Estimation[C]∥ Proceedings of the International Conference Advanced Information Technology, Services and Systems, F, 2018.
|
18 |
Samat A, Li E Z, Wang W, et al. Meta-XGBoost for hyperspectral image classification using Extended MSER-Guided morphological profiles[J]. Remote Sensing, 2020, 12(12): 23. DOI: 10.3390/rs12121973 .
doi: 10.3390/rs12121973
|
19 |
Zhang H, Wang M. Search for the smallest random forest[J]. Statistics and Its Interface,2009,2(3):381-388.DOI:10. 1093/biostatistics/kxaa021 .
doi: 10. 1093/biostatistics/kxaa021
|
20 |
Adler W, Gefeller O, Gul A, et al. Ensemble pruning for glaucoma detection in an unbalanced data set[J]. Methods of Information in Medicine, 2016, 55(6): 557-63. DOI: 10.3414/ME16-01-0055 .
doi: 10.3414/ME16-01-0055
|
21 |
Khan Z, Gul A, Perperoglou A, et al. Ensemble of optimal trees, random forest and random projection ensemble classification[J]. Advanced Data Analysis and Classification, 2020, 14(1): 97-116. DOI: 10.1007/s11634-019-00364-9 .
doi: 10.1007/s11634-019-00364-9
|
22 |
Mo Guifen, Feng Jianzhong, Wang Zhongmei, et al. Spatial-temporal evolution characteristics of landscape ecological risk in the transboundary basin of Amu Darya River, Central Asia[J]. Agricultural Research in the Arid Areas, 2022,40(1):123-131.
|
22 |
莫贵芬,冯建中,王中美,等.中亚阿姆河跨境流域景观生态风险时空演变特征分析[J].干旱地区农业研究,2022,40(1):123-131.
|
23 |
Hu Y, Duan W, Chen Y, et al. An integrated assessment of runoff dynamics in the Amu Darya River Basin: Confronting climate change and multiple human activities,1960-2017[J]. Journal of Hydrology, 2021, 603: 126905. .
|
24 |
He H, Hamdi R, Cai P, et al. Impacts of historical land use/cover change (1980–2015) on summer climate in the Aral Sea Region[J]. Journal of Geophysical Research: Atmospheres, 2021, 126(6)
|
25 |
Han Q F, Luo G P, Li C F, et al. Response of carbon dynamics to climate change varied among different vegetation types in Central Asia[J]. Sustainability, 2018, 10(9): 15. DOI:10.3390/su10093288 .
doi: 10.3390/su10093288
|
26 |
Li Qi, Li Fadong, Wang Guoqin, et al. Development of irrigated agriculture in Uzbekistan an its impact on ecological enviroment and economic development[J]. Arid Land Geography, 2021,44(6):1810-1820.
|
26 |
李琦,李发东,王国勤,等.乌兹别克斯坦灌溉农业发展及其对生态环境和经济发展的影响[J].干旱区地理,2021,44(6):1810-1820.
|
27 |
Ye H, Huang X T, Luo G P, et al. Improving remote sensing-based net primary production estimation in the grazed land with defoliation formulation model[J]. Journal of Mountain Science, 2019, 16(2): 323-336. .
|
28 |
Roy D P, Wulder M A, Lovehand T R, et al. Landsat 8: Science and product vision for terrestrial global change research[J]. Remote Sensing of Environment, 2014,145:154-172. DOI:10.1016/j.rse.2014.02.001 .
doi: 10.1016/j.rse.2014.02.001
|
29 |
Zhu Z, Woodcock C E. Continuous change detection and classification of land cover using all available Landsat data[J]. Remote Sensing of Environment,2014,144:152-171. DOI:10. 1016/j.rse.2014.01.011 .
doi: 10. 1016/j.rse.2014.01.011
|
30 |
Zhang Xiao. Global land-cover classification and mapping at 30 m using quantitative remote sensing technique[D] Beijing:University of Chinese Academy of Sciences(Aerospace Information Research Institute), 2020.
|
30 |
张肖. 全球30 m地表覆盖定量遥感分类与制图研究[D].北京:中国科学院大学(中国科学院空天信息创新研究院), 2020.
|
31 |
Gong P, Wang J, Yu L, et al. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+data[J/OL]. International Journal of Remote Sensing,2013,34(7):2607-2654. .
|
32 |
Otsu N. Threshold selection method from gray-level histogram[J]. IEEE Transactions on Systems Man and Cybernetics,1979,9(1):62-66.
|
33 |
Breiman L. Random forests[J]. Machine Learning,2001, 45(1): 5-32. .
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|