应用高分辨率影像的城市固体废弃物提取

日益增多的城市固体废弃物不断威胁着城市的生态环境。应用遥感技术的城市固体废弃物监测与管理比实地调查的方法省时省力。然而，分布不规律的城市固体废弃物成分复杂，在高分辨率遥感影像上表现出极强的异质性，无论是针对像素，还是针对运用对象的影像分析方法都难以实现计算机自动提取。针对城市固废堆在重采样低分辨率影像上异质性得到减弱、同质性增强，而在高分辨率上细节丰富、位置准确的特点，提出了一种融合多分辨率对象的城市固废提取方法。以北京市海淀区的QuickBird影像进行实验，结果表明，露天城市固废堆的识别精度可达75%，表明这种多分辨率信息提取策略对于监测露天的城市固废堆十分有效。

Extracting Municipal Solid Waste Dumps Based on High Resolution Images

The dramatically increasing informal MSW dumps are endangering the urban environment. Remote sensing (RS) technologies are more efficient to monitor and manage municipal solid wastes (MSW) than traditional survey-based methods. In high spatial resolution remotely sensed images, these irregularly distributed dumps have complex compositions and strong heterogeneities, thus it is still hard to extract them automatically no matter the pixel-or object-based image analysis method is used. Therefore, based on the analysis of MSW characteristics, the present study develops a multiresolution strategy to extract MSW dumps by combining image features at both high resolution and resampled lowheterogeneity images, while the high resolution images can provide detailed information and the low resolution images can suppress the strong heterogeneities of informal MSW dumps. Taking the QuickBird image covering part of Beijing as an example, this multi-resolution strategy produced a high accuracy (75%), indicating that this multi-resolution strategy is quite effective for extracting the open-air informal MSW dumps.