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首页> 外文会议>Asian conference on remote sensingACRS >RAPID INVENTORY OF INLAND BODIES OF WATER USING LANDSAT TM IMAGERIES AND DIFFERENT FEATURE EXTRACTION TECHNIQUES
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RAPID INVENTORY OF INLAND BODIES OF WATER USING LANDSAT TM IMAGERIES AND DIFFERENT FEATURE EXTRACTION TECHNIQUES

机译：使用Landsat TM Imageries和不同特征提取技术的内陆水域的快速清单

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A good initiative for creating a national database of inland wetlands is identifying possible locations for these water bodies. Four procedures in the detection of water bodies were tested using Landsat TM Imagery and were evaluated to determine which procedure best serves the purpose of efficiently creating an initial wetland inventory for the Philippines. The procedures are namely: classification using Perceptron Model, supervised classification using Maximum Likelihood, unsupervised classification using Iterative Self-Organizing Data Analysis Technique (ISODATA), and classification by thresholding. All four procedures detected major wetlands including lakes and dams, and they also detected areas that are considerably wet such as swamps, fishponds, and agricultural areas. Due to the limited resolution of Landsat TM, small and narrow wetlands were not included in the initial wetland inventory. Considering speed and visual accuracy, classification by thresholding was chosen as the best method to use in creating the initial wetland inventory. The procedure also requires minor supervision from user and therefore minimizes errors coming from the user. As an accuracy check, wetland point locations obtained from the Biodiversity Management Bureau (BMB) were used as reference to validate the created wetland inventory. Out of the 27 wetlands in the database of BMB that lie on the study area, at least 24 wetlands were delineated in the inventory. Upon creating the initial wetland inventory, this will be used to evaluate identified areas for a detailed delineation of wetlands using an established method using Object-Based Image Analysis (OBIA).
机译：创建国家内陆湿地数据库的良好举措正在识别这些水体的可能位置。使用Landsat TM图像检测水体检测中的四个程序，并评估了哪些程序最能力为菲律宾有效创造初始湿地库存的目的。该程序是：使用Perceptron模型进行分类，使用最大可能性监督分类，使用迭代自组织数据分析技术（ISODATA）来监督分类，并通过阈值分类。所有四个程序检测到主要湿地，包括湖泊和水坝，也检测到沼泽，鱼塘和农业区域的区域。由于Landsat TM的分辨率有限，初始湿地库存中不包括小型和狭窄的湿地。考虑到速度和视觉准确性，选择通过阈值的分类作为创建初始湿地库存中的最佳方法。该程序还需要用户的轻微监督，因此最大限度地减少来自用户的错误。作为准确性检查，从生物多样性管理局（BMB）获得的湿地点位置被用作参考，以验证创建的湿地库存。在BMB数据库中出来的27个湿地，在研究区域，至少24次湿地在库存中被划定。在创建初始湿地库存后，将用于使用基于对象的图像分析（OBIA）使用建立的方法来评估湿地详细描写的识别区域。

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