摘要
研究了光谱混合分解模型在草地退化(荒漠化)中的应用,探讨了模型运用中的遥感数据获取和预处理、端元选取、光谱混合分解结果的时序分析和数据融合等关键问题,并给出了相应的解决方法。最后探讨了该方法存在的问题和改进之处,指出高光谱遥感、模型数学、神经网络是光谱混合分解模型在草地退化研究中的发展方向。
The spectral mixture-decomposing model in grassland degradation was studied.Remote sensing date acquisition and image pre-processing,endmember selection,multidate images time series analysis and date fusion in grassland degradation research were discussed,and the relevant solutions were provided.The limitation and improvement ways were also discussed in the paper end in the .The hypersectral remote sensing date,fuzzy mathematics and neural network are study tendency in grassland degradation using spectral mixture-decomposing model.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2004年第5期597-599,共3页
Journal of Liaoning Technical University (Natural Science)
基金
国家自然科学基金资助项目(50374041)
