傅文杰, 戴塔根. 2006. 基于线性光谱混合模型的遥感影像枇杷树信息提取. 西北林学院学报, 21(2):13-15. (Fu W J, Dai T G. 2006. Mapping of Loquat spatial distribution with linear spectral mixture model. Journal of Northwest Forestry University, 21(2):13-15.[in Chinese]) 郭传友, 黄坚钦, 方炎明. 2004. 山核桃研究综述及展望. 经济林研究, 22(1): 61-63. (Guo C Y, Huang J Q, Fang Y M. 2004. Review and perspective of research on Carya cathayensis. Nonwood Forest Research, 22(1): 61-63.[in Chinese]) 韩 凝, 张秀英, 王小明, 等. 2009. 基于面向对象的IKONOS影像香榧树分布信息提取研究. 浙江大学学报: 农业与生命科学版, 35(6): 670-676. (Han N, Zhang X Y, Wang X M, et al. 2009. Extraction of Torreya grandis Fort. based on object-oriented method of from IKONOS imagery. Journal of Zhejiang University:Agriculture and Life Sciences, 35(6): 670-676.[in Chinese]) 何颖清, 邓孺孺, 陈 蕾, 等. 2010. 复杂地形下自动提取多暗像元的TM影像大气纠正方法. 遥感技术与应用, 25(4):532-539. (He Y Q, Deng R R, Chen L, et al. 2010. The atmospheric correction for TM image under complicated geographic conditions based on automatically extracted many dark objects. Remote Sensing Technology and Application, 25(4):532-539.[in Chinese]) 胡潭高, 潘耀忠, 张锦水, 等. 2011. 基于线性光谱模型和支撑向量机的软硬分类方法. 光谱学与光谱分析, 31(2):508-511. (Hu T G, Pan Y Z, Zhang J S, et al. 2011. Integration of soft and hard classifications using linear spectral mixture model and support vector machines. Spectroscopy and Spectral Analysis, 31(2):508-511.[in Chinese]) 金志凤, 赵宏波, 李 波, 等. 2011. 基于GIS的浙江山核桃栽植综合区划. 浙江农林大学学报, 28(2):256-261. (Jin Z F, Zhao H B, Li B, et al. 2011. Optimum areas for Carya cathayensis planting in Zhejiang Province based on GIS. Journal of Zhejiang A&F University, 28(2):256-261.[in Chinese]) 李翠翠, 樊基仓, 付潇华, 等. 2014. 复杂地形山区Landsat TM影像C校正策略与实验. 地球信息科学学报, 16(1):134-141. (Li C C, Fan J C, Fu X H, et al. 2014. Analysis and comparison test on C-correction strategies and their scale effects with TM images in rugged mountainous terrain. Journal of Geo-Information Science, 16(1):134-141.[in Chinese]) 吕惠进. 2005. 浙江临安山核桃立地环境研究. 森林工程, 21(1): 1-6. (Lv H J. 2005. The natural stands conditions of Carya cathayensis in Lin'an county of Zhejiang Province. Forest Engineering, 21(1): 1-6.[in Chinese]) 王 杰, 杨 辽, 沈金祥, 等. 2011. 两种基于空间与光谱相结合的TM影像端元提取算法. 光谱学与光谱分析, 31(5):1286-1289. (Wang J, Yang L, Shen J X, et al. 2011. Two endmember extraction Algorithms with combined spatial and spectral domain TM image. Spectroscopy and Spectral Analysis, 31(5):1286-1289.[in Chinese]) 徐 燕, 沈月琴, 黄坚钦, 等. 2010. 农户对山核桃生态化经营模式的意愿分析. 浙江林学院学报, 27(5): 750-756. (Xu Y, Shen Y Q, Huang J Q, et al. 2010. Farmers' willingness to adopt ecological management model for Carya cathayensis. Journal of Zhejiang Forestry College, 27(5): 750-756.[in Chinese]) 杨 争, 丁丽霞, 许 明, 等. 2012. 基于CBERS-02卫星数据的山核桃种植面积提取研究. 西南林业大学学报, 32(3): 60-63. (Yang Z, Ding L X, Xu M, et al. 2012. Study on data extraction of Carya cathayensis planting area based on CBERS-02 database. Journal of Southwest Forestry University, 32(3): 60-63.[in Chinese]) 詹森梁, 赵伟明, 叶立前,等. 2004. 临安市山核桃产量大小年特征的时间序列研究. 华东森林经理, 18(4):13-16. (Zhan S L, Zhao W M, Ye L Q, et al. 2004.The series study on the alternate bearing phenomenon of Carya cathayensis in Lin'an. East China Forest Management, 2004. 18(4):13-16.[in Chinese]) 钟耀武, 刘良云, 王纪华, 等. 2006. SCS+C地形辐射校正模型的应用分析研究. 国土资源遥感, (4):14-18. (Zhong Y W, Liu L Y, Wang J H, et al. 2006. The application of SCS+C methods for topographic radiation correction. Remote Sensing for Land & Resources, (4):14-18.[in Chinese]) Chavez J. 1996. Image-based atmospheric corrections-revisited and improved. Photogrammetric Engineering and Remote Sensing, 62(9):1025-1036. Gong P, Wang J, Yu L, et al. 2013. Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing, 34(7): 2607-2654. Kou W L, Xiao X M, Dong J W, et al. 2015. Mapping deciduous rubber plantation areas and stand ages with PALSAR and Landsat images. Remote Sensing, 7(1):1048-1073. Li L, Dong J W, Tenku S N, et al. 2015. Mapping oil palm plantation in cameroon using PALSAR 50-m orthorectified mosaic images. Remote Sensing, 7(2):1206-1224. Li L, Lay M, Ustin S L. 2005. Application of multiple endmember spectral mixture analysis(MESMA) to AVIRIS imagery for coastal salt marsh mapping a case study in China Camp, CA, USA. International Journal of Remote Sensing, 26(23): 5193-5207. Lu D S, Li G Y, Moran E. 2014. Current situation and needs of change detection techniques. International Journal of Image and Data Fusion, 5(1): 13-38. Lu D S, Mausel P, Brondízio E S, et al. 2002. Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research. International Journal of Remote Sensing, 23(13): 2651-2671. Lu D S, Moran E, Batistella M. 2003. Linear mixture model applied to Amazonian vegetation classification. Remote Sensing of Environment, 87(4): 456-469. Lu D S, Weng Q. 2007.A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing, 28(5): 823-870. Mather P. 1999.Computer processing of remotely-sensed images: an introduction.2nd ed. Chichester:John Wiley & Sons. Reese H, Olsson H. 2011. C-correction of optical satellite data over alpine vegetation areas: a comparison of sampling strategies for determining the empirical c-parameter. Remote Sensing of Environment, 115(6):1387-1400. Richter R, Kellenberger T, Kaufmann H. 2009. Comparison of topographic correction methods. International Journal of Remote Sensing, 1(3): 184-196. |