参考文献/References:
[1]XIAO X M, BOLES S, LIU J Y, et al. Mapping paddy rice agriculture in southern China using multi-temporal MODIS images[J]. Remote Sensing of Environment, 2005, 95(4): 480-492.
[2]郑长春. 水稻种植面积遥感信息提取研究[D]. 乌鲁木齐:新疆农业大学,2008.
[3]陈刘凤,林开平,胡宝清,等. 基于Landsat8-OLI数据的甘蔗种植面积监测[J]. 南方农业学报,2015,46(11):2068-2072.
[4]丁娅萍. 基于微波遥感的旱地作物识别及面积提取方法研究[D]. 北京:中国农业科学院,2013.
[5]邵芸,郭华东,范湘涛,等. 水稻时域散射特征分析及其应用研究[J]. 遥感学报, 2001, 5(5): 340-345.
[6]HALDAR D, PATNAIK C. Synergistic use of multi-temporal Radarsat SAR and AWiFS data for Rabi rice identification[J]. Journal of the Indian Society of Remote Sensing, 2010, 38(1): 153-160.
[7]YONEZAWA C, NEGISHI M, AZUMA K, et al. Growth monitoring and classification of rice fields using multitemporal RADARSAT-2 full-polarimetric data[J]. International Journal of Remote Sensing, 2012, 33(18): 5696-5711.
[8]ZHANG Y, WANG C Z, WU J P, et al. Mapping paddy rice with multitemporal ALOS/PALSAR imagery in southeast China[J]. International Journal of Remote Sensing, 2009, 30(23): 6301-6315.
[9]李坤,邵芸,张风丽. 基于多极化机载合成孔径雷达(SAR)数据的水稻提取[J]. 浙江大学学报(农业与生命科学版),2011,37(2):181-186.
[10]李章成,李源洪,周华茂. 基于ALOS-PALSAR双极化雷达影像遥感监测水稻的研究——以德阳地区为例[J]. 西南师范大学学报(自然科学版),2013,37(6):62-67.
[11]杜烨,郭长青,文宁,等. 基于多时相COSMO-SkyMed SAR数据对水稻信息提取方法的研究与应用[J]. 遥感信息,2014,29(3):30-34.
[12]田昕,陈尔学,李增元,等.基于多极化星载SAR数据的水稻/旱田识别——以江苏省海安县为例[J].遥感技术与应用,2012,27(3):406-412.
[13]张细燕,何隆华. 基于SAR与Landsat TM的小区域稻田的识别研究——以南京市江宁区为例[J].遥感技术与应用,2015,30(1):43-49.
[14]FIEUZAL R, BAUP F, MARAIS-SICRE C. Monitoring wheat and rapeseed by using synchronous optical and radar satellite data-from temporal signatures to crop parameters estimation[J]. Advances in Remote Sensing, 2013, 2(2): 162-180.
[15]何德平,肖勇,肖兴国,等. 支持向量机在遥感影像处理中的应用[J].城市勘测,2006(3):27-30.
[16]何灵敏,沈掌泉,孔繁胜,等. SVM在多源遥感图像分类中的应用研究[J].中国图象图形学报,2007,12(4):648-654.
[17]张锦水,何春阳,潘耀忠,等. 基于SVM的多源信息复合的高空间分辨率遥感数据分类研究[J].遥感学报,2006,10(1):49-57.
[18]甘甫平,王润生,王永江,等. 基于遥感技术的土地利用与土地覆盖的分类方法[J]. 国土资源遥感,1999,42(4):40-45.
[19]JANSSEN L L F, VANDERWEL F J M. Accuracy assessment of satellite derived land-cover data: A review[J].Photogrammetric Engineering and Remote Sensing, 1994,60(4): 419-426.
[20]KALKHAN M A, REICH R M. Assessing the accuracy of Landsat Thematic Mapper classification using double sampling [J]. International Journal of Remote Sensing, 1998,19(11): 2049-2060.
[21]顾晓鹤,潘耀忠,何馨,等.以地块分类为核心的冬小麦种植面积遥感估算[J].遥感学报,2010,14(4):789-805.
相似文献/References:
[1]田苗,王鹏新.降水温度指数及其在旱涝灾害监测中的应用[J].江苏农业学报,2016,(04):810.[doi:10.3969/j.issn.100-4440.2016.04.016]
TIAN Miao,WANG Peng-xin.Precipitation-temperature index and its application in drought and flood disasters monitoring[J].,2016,(03):810.[doi:10.3969/j.issn.100-4440.2016.04.016]
[2]顾军,于堃,张腾,等.基于信息技术的财政支农项目监管方法[J].江苏农业学报,2015,(01):197.[doi:10.3969/j.issn.1000-4440.2015.01.031]
GU Jun,YU Kun,ZHANG Teng,et al.Supervision of goverment finance-supported agricultural projects using information technology in Jiangsu province[J].,2015,(03):197.[doi:10.3969/j.issn.1000-4440.2015.01.031]
[3]苗荣慧,黄锋华,杨华,等.基于空谱一体化的农田高光谱图像分类[J].江苏农业学报,2018,(04):818.[doi:doi:10.3969/j.issn.1000-4440.2018.04.015]
MIAO Rong-hui,HUANG Feng-hua,YANG hua,et al.Farmland classification of hyperspectral image based on spatial-spectral integration method[J].,2018,(03):818.[doi:doi:10.3969/j.issn.1000-4440.2018.04.015]
[4]孙玉婷,杨红云,王映龙,等.基于支持向量机的水稻叶面积测定[J].江苏农业学报,2018,(05):1027.[doi:doi:10.3969/j.issn.1000-4440.2018.05.009]
SUN Yu-ting,YANG Hong-yun,WANG Ying-long,et al.Determination of rice leaf area based on support vector machine[J].,2018,(03):1027.[doi:doi:10.3969/j.issn.1000-4440.2018.05.009]
[5]郑曼迪,熊黑钢,乔娟峰,等.基于综合光谱指数的不同程度人类干扰下土壤有机质含量预测[J].江苏农业学报,2018,(05):1048.[doi:doi:10.3969/j.issn.1000-4440.2018.05.012]
ZHENG Man-di,XIONG Hei-gang,QIAO Juan-feng,et al.Prediction of soil organic matter content based on comprehensive spectral index at different levels of human disturbance[J].,2018,(03):1048.[doi:doi:10.3969/j.issn.1000-4440.2018.05.012]
[6]许伟栋,赵忠盖.基于卷积神经网络和支持向量机算法的马铃薯表面缺陷检测[J].江苏农业学报,2018,(06):1378.[doi:doi:10.3969/j.issn.1000-4440.2018.06.025]
XU Wei-dong,ZHAO Zhong-gai.Potato surface defects detection based on convolution neural networks and support vector machine algorithm[J].,2018,(03):1378.[doi:doi:10.3969/j.issn.1000-4440.2018.06.025]
[7]于堃,单捷,王志明,等.无人机遥感技术在小尺度土地利用现状动态监测中的应用[J].江苏农业学报,2019,(04):853.[doi:doi:10.3969/j.issn.1000-4440.2019.04.015]
YU Kun,SHAN Jie,WANG Zhi ming,et al.Land use status monitoring in small scale by unmanned aerial vehicles (UAVs) observations[J].,2019,(03):853.[doi:doi:10.3969/j.issn.1000-4440.2019.04.015]
[8]王新忠,卢青,张晓东,等.基于高光谱图像的黄瓜种子活力无损检测[J].江苏农业学报,2019,(05):1197.[doi:doi:10.3969/j.issn.1000-4440.2019.05.028]
WANG Xin-zhong,LU Qing,ZHANG Xiao-dong,et al.Non-destructive detection of cucumber seeds vigor based on hyperspectral imaging[J].,2019,(03):1197.[doi:doi:10.3969/j.issn.1000-4440.2019.05.028]
[9]孙晓明,陈小龙,余向阳,等.基于近红外光谱分析技术的水蜜桃产地溯源[J].江苏农业学报,2020,(02):507.[doi:doi:10.3969/j.issn.1000-4440.2020.02.035]
SUN Xiao-ming,CHEN Xiao-long,YU Xiang-yang,et al.Traceability of honey peach origin using near infrared spectroscopy analysis techniques[J].,2020,(03):507.[doi:doi:10.3969/j.issn.1000-4440.2020.02.035]
[10]孙玲,单捷,卢必慧,等.江苏省水稻主产区水稻种植调减模式遥感监测[J].江苏农业学报,2020,(04):911.[doi:doi:10.3969/j.issn.1000-4440.2020.04.015]
SUN Ling,SHAN Jie,LU Bi-hui,et al.Remote sensing monitoring of rice plantation reduction model in main rice production areas of Jiangsu province[J].,2020,(03):911.[doi:doi:10.3969/j.issn.1000-4440.2020.04.015]