| Technology and Methodology |
|
|
|
|
|
The Application of the Dynamic Endmember Linear Spectral Unmixing Model to Winter Wheat Area Estimation |
| ZHAO Lian 2， ZHANG Jin-shui 1,2， HU Tan-gao 2， CHEN Lian-qun 2， LI Le 2 |
| (1.State Key Laboratory of Earth Surface Processes and Resource Ecology， Beijing 100081， China； 2.College of Resources Science and Technology， Beijing Normal University， Beijing 100875， China) |
|
|
|
|
Abstract Linear spectral unmixing（LSU）is the most common method for solving mixed pixel problem; nevertheless, if the number of the pixels’ endmember is regarded as unchangeable, the traditional pixel unmixing algorithm cannot attain a good result. In the light of the characteristic that pixels usually have the same composition as their neighboring pixels, the authors proposed a grid-based dynamic endmember linear spectral unmixing（DELSU） model. The land cover classification experiment was conducted with the adoption of the Landsat TM image as the experimental data. The abundance map of winter wheat derived from the visual interpretation of the QuickBird image was used for accuracy evaluation. The experimental results show that the use of the DELSU model could extract the area of winter wheat at a precision higher than that of the traditional maximum likelihood method and the LSU model. This model absorbs the traditional classification advantages and improves the measurement accuracy of the target features. As an improved method of LSU，DELSU is also applicable to the measurement of other land use/cover types.
|
| Keywords
Remote sensing technique
Geographic information system
Global position system
Tourism
|
|
|
|
Issue Date: 22 March 2011
|
|
|
| ［1］胡健波，陈玮，李小玉，等．基于线性混合像元分解的沈阳市三环内城市植被覆盖变化［J］.应用生态学报，2009，20(5)：1140-1146.［2］许文波，张国平，范锦龙，等．利用MODIS遥感数据检测冬小麦种植面积［J］．农业工程学报，2007，23(12)：144-149．［3］李霞，王飞，徐德斌，等．基于混合像元分解提取大豆种植面积的应用探讨［J］．农业工程学报，2008，24(1)：213-217．［4］邹金秋，陈佑启，Uchida S，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．［5］武永利，王云峰，张建新，等．应用线性混合模型遥感监测遥感监测冬小麦种植面积［J］．农业工程学报，2009，25(2)：136-140．［6］田静，阎雨，陈圣波．植被覆盖率的遥感研究进展［J］．国土资源遥感，2004(1)：1-5．［7］Ichoku C，Kamieli A.A Review of Modeling Technique for Sub-pixel Lland Cover Estimation［J］．Remote Sensing Reviews，1996，13(3)：161-186．［8］Chabrillat S，Pinet P C，Ceuleneer G，et al.Ronda Peridotite Massif：Methodology for Its Geological Mapping and Lithological Discrimination from Airborne Hyper-spectral Data［J］．International Journal of Remote Sensing，2000，21：2363-2388．［9］李惠，陈健飞，余明．线性光谱混合模型的ASTER影像植被应用分析［J］．地球信息科学，2005，7(1)：103-106．［10］丛浩，张良培，李平湘．一种端元可变的混合像元分解方法［J］．中国图象图形学报，2006，11(8)：1092-1096．［11］Asner G P，Heidebrecht K B.Spectral Unmixing of Vegetation，Soil and Dry Carbon Cover in Arid Regions:Comparing Multispectral and Hyper-spectral Observations［J］.International Journal of Remote Sensing，2002，23:3939-3958．［12］Song C H.Spectral Mixture Analysis for Subpixel Vegetation Fractions in the Urban Environment:How To Incorporate Endmember Variability?［J］.Remote Sensing of Environment，2005，95：248-263．［13］Bateson C A，Asner G P，Wessman C A.Endmember Bundles:A New Approach to Incorporating Endmember Variability into Spectral Mixture Analysis［J］.IEEE Transactions on Geoscience and Remote Sensing，2000，38:1083-1094．［14］Roberts D A，Gardner M，Church R，et al.Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models.Remote Sensing of Environment［J］.1998，65:267-279．［15］Joseph M，Piwowar.Temporal Mixture Analysis of Arcticsea Ice Imagery:A New Approach for Monitoring Environmental Change．Remote Sensing of Environment［J］.1998，63：195-207．［16］Zhou X T，Folving S.Application of Spectral Mixture Modeling to the Regional Assessment and Degradation:A Case Study from Basilicata Italy［J］.Land Degradation&Rehabilitation，1994，5：215-222．［17］刘建贵，吴长山，张兵，等．PHI成像光谱图像反射率转换［J］．遥感学报，1999，3(4)：290-294．［18］韦玉春，黄家柱．Landsat5图像的增益、偏置取值及其对行星反射率计算分析［J］．地球信息科学，2006(1)：110-113．［19］杨可明，陈云浩，郭达志，等．基于端元提取的高光谱影像特定目标识别［J］．金属矿山，2006(6)：48-52．［20］Ridd M K.Exploring V-I-S (Vegetation-Impervious Surface-Soil)Model for Urban Ecosystem Analysis through Remote Sensing:Comparative Anatomy for Cities［J］.International Journal of Remote sensing，1995，16:2165-2185.［21］刘咏梅，杨勤科，汤国安．陕北黄土丘陵地区坡耕地遥感分类方法研究［J］．水土保持通报，2004，24(4)：51-54．［22］吴波，张良培，李平湘.基于支撑向量机概率输出的高光谱影像混合像元分解［J］.武汉大学学报(信息科学版)，2006(1):51-54.［23］胡潭高，张锦水，贾斌，等．不同分辨率遥感图像混合像元线性分解方法研究［J］．地理与地理信息科学，2008，24(3)：20-24. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
2011,
Vol. 23
