基于最优尺度选择的高分辨率遥感影像丘陵农田提取  

Hilly farmland extraction from high resolution remote sensing imagery based on optimal scale selection

作　　者：陈杰[1] 陈铁桥[1] 梅小明[1] 邵权斌 邓敏[1] 

机构地区：[1]中南大学地理信息系,长沙410083

出　　处：《农业工程学报》2014年第5期99-107,共9页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家重点基础研究发展计划(973项目)(2012CB719906);国家863计划主题项目(2012AA121301);国家自然科学基金项目(41201428);中国博士后科学基金项目(2012M511762);中央高校基本科研业务费项目(2012QNZT076)

摘　　要：农田测绘与粮食安全密切相关,高效经济的农田测绘是中国政府部门重点关注的工作之一。农田田块是农田测绘的基本要素,从遥感影像中提取农田田块信息是当前研究的热点。然而,丘陵地区农田形状不规则、光谱特征不明显导致农田信息提取困难,该文通过研究最优的农田分割尺度来提高农田田块信息提取的精度。首先,利用各向异性扩散算子在由Sobel得到的梯度图上生成多尺度梯度影像。然后,通过信息熵差异分析得到有效尺度范围。其次,利用标记分水岭算法对农田梯度影像进行分割获得多尺度农田信息。最后,利用非监督的全局评价方法在已得的有效尺度范围内确定农田提取的最优尺度,同时确定最优的农田提取结果。对比试验结果表明,该文方法能够有效地提取丘陵地区的农田田块,精度可以达到73.06%,比Mean-shift方法提取的精度高22.48%。该研究可为中国农田测绘提供技术参考。The growing population and accelerating urbanization have caused much illegal occupation of farmland, which seriously threat to national food security, social stability and economic development of our country. Farmland information extraction has become a hot issue in agricultural research field in the world. In addition, farmland mapping is closely related to the food security and is one of the most concerned issues of government departments. However, traditional technology of surveying and mapping is time consuming and labor costing, which is unable to adapt to the precise and effective information acquisition of farmland. The high resolution remote sensing imagery can provide more details of ground truth than low resolution imagery. However, the information mining in high resolution remote sensing imagery faces a big challenge caused by the complex ground environment. Farmland blocks in high resolution remote sensing imagery have various shapes, complicated texture and heterogeneous spectrum. The shape information is one of the most important content of farmland mapping. In this study, high resolution remote sensing imagery from QuickBird was used to precisely extract farmland in hilly area. And the method of farmland extraction combining multi-scale segmentation and optimal scale selection was put forward. Firstly, gradient image is generated by using Sobel gradient operator. In order to enhance the edge information and reduce the irrelevant information for farmland extraction, the multi-scale gradient images are filtered with anisotropic diffusion operator. Secondly, effective scale range of multi-scale gradient images is determined through the entropy difference analysis, which can reduce the amount of calculation of the multi-scale analysis in next stage. Thirdly, a marker driven watershed transform based on minima extension and minima imposition is applied to segment the multi-scale gradient images to produce multi-scale shape information of farmland with precious boundaries. Finally, the optimal scale ide

关 键 词：遥感 图像识别 测绘 农田 高分辨率遥感影像 各向异性扩散 最优尺度选择 

分 类 号：S127[农业科学—农业基础科学]