基于改进的NDVI密度分割方法的冬小麦面积信息提取
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摘要
基于高分辨率遥感影像提取的种植结构信息,能够比传统的统计数据更加直观地表达农作物的空间分布特征,这些数据信息是水资源管理部门进行水资源管理的重要数据参考。为解决GF-1 WFV传感器影像中混合像元对小麦信息提取结果的影响,引入高分辨率GF-1PMS传感器影像,在两种影像相同位置建立样本研究区,利用PMS影像的分辨率优势为WFV影像中小麦混合像元训练样本提供真实小麦面积权重,得到WFV影像小麦混合像元NDVI与小麦面积权重的比例关系,再运用区间归一化的方法解决同一NDVI值对应不同小麦面积权重的问题,进而得到混合像元中小麦的真实面积信息,最终提取了冀州市的冬小麦信息。经验证,该方法能够在实地样本不足的条件下,较准确地提取冬小麦面积信息。
The planting structure information extracted by high-resolution remote sensing imaging can be more intuitive than traditional statistical data to present the spatial distribution and area information of crops.These data can provide important reference for water resources management.In order to eliminate the influence of mixed pixels in GF-1 WFV sensor images on wheat information extraction,we introduced the high-resolution GF-1PMS sensor images,and established samples in the two images.We used the superior resolution of PMS images to provide real wheat area weight to the training samples of wheat mixed pixels in the WFV image,and obtained the relationship between wheat NDVI and wheat area weight.Then we used the interval normalization method to solve the problem in which one NDVI value corresponded to different wheat area weights,and thus obtained the true area information of wheat in mixed pixels,and extracted the winter wheat information of Jizhou City.It was verified that the method can accurately extract information of winter wheat area under the condition of insufficient samples.
The planting structure information extracted by high-resolution remote sensing imaging can be more intuitive than traditional statistical data to present the spatial distribution and area information of crops.These data can provide important reference for water resources management.In order to eliminate the influence of mixed pixels in GF-1 WFV sensor images on wheat information extraction,we introduced the high-resolution GF-1PMS sensor images,and established samples in the two images.We used the superior resolution of PMS images to provide real wheat area weight to the training samples of wheat mixed pixels in the WFV image,and obtained the relationship between wheat NDVI and wheat area weight.Then we used the interval normalization method to solve the problem in which one NDVI value corresponded to different wheat area weights,and thus obtained the true area information of wheat in mixed pixels,and extracted the winter wheat information of Jizhou City.It was verified that the method can accurately extract information of winter wheat area under the condition of insufficient samples.
引文
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[14]徐超,朱秀芹,潘耀忠,等.基于NDII及NDVI提取水稻信息的对比研究[J].地理与地理信息科学,2008,24(5):44-46.(XU Chao,ZHU Xiu-qin,PAN Yao-zhong,et al.Comparison study on applications of NDII and NDVI in information extraction of rice[J].Geography and Geo-Information Science,2008,24(5):44-46.(in Chinese))
[15]葛广秀,李卫国,景元书.基于NDVI密度分割的冬小麦种植面积提取[J].麦类作物学报,2014,34(7):9007-1002.(GE Guang-xiu,LI Wei-guo,JING Yuan-shu.Area of winter wheat extracted on NDVI density slicing[J].Journal of Triticeae Crops,2014,34(7):9007-1002.(in Chinese))DOI:10.7606/j.issn.1009-1041.2014.07.21
[16]王利民,刘佳,杨福刚,等.基于GF-1卫星遥感的冬小麦面积早期识别[J].农业工程学报,2015,31(11):194-201.(WANG Li-min,LIU Jia,YANG Fu-gang,et al.Early recognition of winter wheat area based on GF-1satellite[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE),2015,31(11):194-201.(in Chinese))
[17]Jiao X F,Kovacs J M,Shang J L,et al.Object-oriented crop mapping and monitoring using multi-temporal polarimetric RADARSAT-2data[J].Isprs J Photogramm,2014,96:38-46.DOI:10.1016/j.isprsjprs.2014.06.014
[18]孙丹峰,杨冀红,刘顺.高分辨率遥感卫星影像在土地利用分类及其变化监测的应用研究[J].农业工程学报,2002,18(2):160-164.(SUN Dang-feng,YANG Yi-hong,LIU Sun.Application of highspatial iknos remote sensing images in land use classification and change monitoring[J].Transactions of the Chinese Society of Agricultural Engineering,2002,18(2):160-164.(in Chinese))DOI:10.3321/j.issn:1002-6819.2002.02.040
[19]覃先林,李增元,易浩若.高空间分辨率卫星遥感影像树冠信息提取方法研究[J].遥感技术与应用,2005(2):228-232.(QIN Xian-lin,LI Zeng-yuan,YI Hao-ruo.Extraction method of tree crown using high-resolution satellite image[J].Remote Sensing Technology and Application,2005,20(2):228-232.(in Chinese)DOI:10.11873/j.issn.1004-0323.2005.2.228
[20]黄振国,杨君.高分一号卫星影像监测水稻种植面积研究综述[J].湖南农业科学,2014(13):76-78.(HUANG Zhen-guo,YANG Jun.Review of High-1Satellite image monitoring rice planting area[J].Hunan Agricultural Science,2014(13):76-78.(in Chinese))DOI:10.3969/j.issn.1006-060X.2014.13.025
[2]Liang S L.Quantitative Remote Sensing of Land Surfaces.[S.L.]:Wiley-IEEE,2003.
[3]黄青,唐华俊,周清波,等.东北地区主要作物种植结构遥感提取及长势监测[J].农业工程学报,2010,26(9):218-223.(HUANG Qing,TANG Hua-jun,ZHOU Qing-bo,et al.Remote-sensing based monitoring of planting structure and growth condition of major crops in Northeast China[J].Transactions of the CSAE,2010,26(9):218-223.(in Chinese))DOI:10.3969/j.issn.1002-6819.2010.09.037
[4]郝卫平,梅旭荣,蔡学良,等.基于多时相遥感影像的东北三省作物分布信息提取[J].农业工程学报,2011,27(1):201-207.(HAO Wei-ping,MEI Xu-rong,CAI Xue-liang,et al.Crop planting extraction based on multi-temporal remote sensing data in Northeast China[J].Transactions of the CSAE,2011,27(1):201-207.(in Chinese))DOI:10.3969/j.issn.1002-6819.2011.01.033
[5]杨闫君,占玉林,田庆久,等.基于GF-1/WFV NDVI时间序列数据的作物分类[J].农业工程学报,2015,31(24):155-161.(YANG Yan-jun,ZHAN Yu-lin,TIAN Qing-jiu,et al.Crop classification based on GF-1/WFV NDVI time series[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE),2015,31(24):155-161.(in Chinese))DOI:10.11975/j.issn.1002-6819.2015.24.024
[6]贺鹏,徐新刚,张宝雷,等.基于多时相GF-1遥感影像的作物分类提取[J].河南农业科学,2016,01:152-159.(HE Peng,XU Xin-gang,ZHANG Bao-lei,et al.Crop classification extraction based on multi-temporal GF-1remote sensing image[J].Journal of Henan Agricultural Sciences,2016,01:152-159.(in Chinese))DOI:10.15933/j.cnki.1004-3268.2016.01.034
[7]蔡学良,崔远来.基于异源多时相遥感数据提取灌区作物种植结构[J].农业工程学报,2009,25(8):124-130.(CAI Xue-liang,CUI Yuan-lai.Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data[J].Transactions ofthe CSAE,2009,25(8):124-130.(in Chinese))DOI:10.3969/j.issn.1002-6819.2009.08.023
[8]杨小唤,张香平,江东.基于MODIS时序NDVI特征值提取多作物播种面积的方法[J].资源科学,2004,26(6):17-22.(YANG Xiao-huan,ZHANG Xiang-ping,JIANG Dong.Extraction of multi-crop planting areas from MODIS data[J].Resources Science,2004,26(6):17-22.(in Chinese))DOI:10.3321/j.issn:1007-7588.2004.06.003
[9]张健康,程彦培,张发旺,等.基于多时相遥感影像的作物种植信息提取[J].农业工程学报,2012,28(2):134-141.(ZHANG Jian-kang,CHENG Yan-pei,ZHANG Fa-wang,et al.Crops planting information extraction based on multi-temporal remote sensing images[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE),2012,28(2):134-141.(in Chinese))DOI:10.3969/j.issn.1002-6819.2012.02.024
[10]裴志远,杨邦杰.多时相归一化植被指数NDVI的时空特征提取与作物长势模型设计[J].农业工程学报,2000,16(5):20-22.(PEI Zhi-yuan,YANG Bang-jie.Analysis of multi temporal and multi spatial character of NDVI and crop condition models development[J].Transactions of the CSAE,2000,16(5):20-22.(in Chinese))DOI:10.3321/j.issn:1002-6819.2000.05.005
[11]Goodwin N R,Collett L J.Development of an automated method for mapping fire history captured in Landsat TM and ETM plus time series across Queensland,Australia[J].Remote Sens Environ,2014,148:206-221.DOI:10.1016/j.rse.2014.03.021
[12]吴炳方,张峰,刘成林,等.农作物长势综合遥感监测方法[J].遥感学报,2004,8(6):498-514.(WU Bing-fang,ZHANG Feng,LIU Cheng-lin,et al.An integrated method for crop condition monitoring[J].Journal of Remote Sensing,2004,8(6):498-514.(in Chinese))DOI:10.11834/jrs.20040602
[13]邹金秋,陈佑启,Satoshi Uchida,等.利用Terra MODIS数据提取冬小麦面积及精度分析[J].农业工程学报,2007,23(11):195-200.(ZOU Jin-qiu,CHEN You-qi,Satoshi Uchida,et al.Method for extracting winter wheat area using Terra MODIS data and its accuracy analysis[J].Transactions of the CSAE,2007,23(11):195-200.(in Chinese))DOI:10.3321/j.issn:1002-6819.2007.11.035
[14]徐超,朱秀芹,潘耀忠,等.基于NDII及NDVI提取水稻信息的对比研究[J].地理与地理信息科学,2008,24(5):44-46.(XU Chao,ZHU Xiu-qin,PAN Yao-zhong,et al.Comparison study on applications of NDII and NDVI in information extraction of rice[J].Geography and Geo-Information Science,2008,24(5):44-46.(in Chinese))
[15]葛广秀,李卫国,景元书.基于NDVI密度分割的冬小麦种植面积提取[J].麦类作物学报,2014,34(7):9007-1002.(GE Guang-xiu,LI Wei-guo,JING Yuan-shu.Area of winter wheat extracted on NDVI density slicing[J].Journal of Triticeae Crops,2014,34(7):9007-1002.(in Chinese))DOI:10.7606/j.issn.1009-1041.2014.07.21
[16]王利民,刘佳,杨福刚,等.基于GF-1卫星遥感的冬小麦面积早期识别[J].农业工程学报,2015,31(11):194-201.(WANG Li-min,LIU Jia,YANG Fu-gang,et al.Early recognition of winter wheat area based on GF-1satellite[J].Transactions of the Chinese Society of Agricultural Engineering(Transactions of the CSAE),2015,31(11):194-201.(in Chinese))
[17]Jiao X F,Kovacs J M,Shang J L,et al.Object-oriented crop mapping and monitoring using multi-temporal polarimetric RADARSAT-2data[J].Isprs J Photogramm,2014,96:38-46.DOI:10.1016/j.isprsjprs.2014.06.014
[18]孙丹峰,杨冀红,刘顺.高分辨率遥感卫星影像在土地利用分类及其变化监测的应用研究[J].农业工程学报,2002,18(2):160-164.(SUN Dang-feng,YANG Yi-hong,LIU Sun.Application of highspatial iknos remote sensing images in land use classification and change monitoring[J].Transactions of the Chinese Society of Agricultural Engineering,2002,18(2):160-164.(in Chinese))DOI:10.3321/j.issn:1002-6819.2002.02.040
[19]覃先林,李增元,易浩若.高空间分辨率卫星遥感影像树冠信息提取方法研究[J].遥感技术与应用,2005(2):228-232.(QIN Xian-lin,LI Zeng-yuan,YI Hao-ruo.Extraction method of tree crown using high-resolution satellite image[J].Remote Sensing Technology and Application,2005,20(2):228-232.(in Chinese)DOI:10.11873/j.issn.1004-0323.2005.2.228
[20]黄振国,杨君.高分一号卫星影像监测水稻种植面积研究综述[J].湖南农业科学,2014(13):76-78.(HUANG Zhen-guo,YANG Jun.Review of High-1Satellite image monitoring rice planting area[J].Hunan Agricultural Science,2014(13):76-78.(in Chinese))DOI:10.3969/j.issn.1006-060X.2014.13.025