参考文献/References:
[1]赵宪文,李崇贵.基于信息技术的森林资源调查新体系[J].北京林业大学学报, 2002, 24(5):9.
[2]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]. International Journal of Remote Sensing, 2013, 34(7): 2607-2654.
[3]方臣,胡飞,陈曦,等.自然资源遥感应用研究进展[J].资源环境与工程,2019,33(4):563-569.
[4]董立新.三峡库区森林叶面积指数多模型遥感估算[J].国土资源遥感,2019,31(02):73-81.
[5]陈艺华,陈振杰.一种面向对象的人工草地遥感监测方法[J].江苏农业学报,2021,37(6):1545-1553.
[6]HAN X, PAN J, DEVLIN A T. Remote sensing study of wetlands in the Pearl River Delta during 1995–2015 with the support vector machine method[J]. Frontiers of Earth Science, 2018, 12: 521-531.
[7]ZHANG S, CHAU K W. Dimension reduction using semi-supervised locally linear embedding for plant leaf classification[C]//Emerging Intelligent Computing Technology and Applications: 5th International Conference on Intelligent Computing, ICIC 2009, Ulsan, South Korea, September 16-19, 2009. Proceedings 5. Springer Berlin Heidelberg, 2009: 948-955.
[8]史加荣, 马媛媛. 深度学习的研究进展与发展[J]. 计算机工程与应用, 2018, 54(10): 1-10.
[9]KRIZHEVSKY A, SUTSKEVER I, Hinton G E. Imagenet classification with deep convolutional neural networks[J]. Advances in Neural Information Processing Systems, 2012, 25.
[10]江涛, 王新杰. 基于卷积神经网络的高分二号影像林分类型分类[J]. 北京林业大学学报, 2019 (9): 20-29.
[11]马建,刘文昊,靳瑰丽,等.基于CNN和SVM的地面高光谱遥感草地植物识别[J].草业科学,2023,40(2):394-404.
[12]LIU C, TAO R, LI W, et al. Joint classification of hyperspectral and multispectral images for mapping coastal wetlands[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 14: 982-996.
[13]CHEN L C, ZHU Y, PAPANDREOU G, et al. Encoder-decoder with atrous separable convolution for semantic image segmentation[C]//Proceedings of the European Conference on Computer Vision (ECCV). 2018: 801-818.
[14]衡雪彪,许捍卫,唐璐,等.基于改进全卷积神经网络模型的土地覆盖分类方法研究[J].地球信息科学学报,2023,25(3):495-509.
[15]Chollet F. EXCEPTION: Deep learning with depthwise separable convolutions[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017: 1251-1258.
[16]SIFRE L, MALLAT S. Rigid-motion scattering for texture classiflcation[J]. International Journal of Computer Vision, 2014.
相似文献/References:
[1]宋俊山,郑刚*.基于Google Earth的连云港市林地变更调查探析[J].江苏林业科技,2016,43(01):21.[doi:10.3969/j.issn.1001-7380.2016.01.006]
[2]左其峰,臧红霞,王进杰.泗阳杨树林地引种太子参复合栽培试验初报[J].江苏林业科技,2018,45(06):19.[doi:10.3969/j.issn.1001-7380.2018.06.005]
[3]魏湖滨.南京市景观格局时空演变分析[J].江苏林业科技,2020,47(02):31.[doi:10.3969/j.issn.1001-7380.2020.02.006]
[4]李东宾,许志斌,何立平,等.浙江四明山典型林地土壤微生物群落结构和多样性研究[J].江苏林业科技,2022,49(02):17.[doi:10.3969/j.issn.1001-7380.2022.02.004]
Li Dongbin,Xu Zhibin,He Liping,et al.Soil microbial community structure and diversity of typical forest types in Siming Mountain area of Zhejiang Province[J].Journal of Jiangsu Forestry Science &Technology,2022,49(03):17.[doi:10.3969/j.issn.1001-7380.2022.02.004]