Tax mapping is an essential element for efficient management of real estate property and tax management, paving the way for effective implementation of g-governance practices in India. Conventional mapping of individual buildings and their attributes involves large effort and is time-consuming. The use of high-resolution UAV imagery facilitates the process of automatic extraction of land parcel, roof area and height by providing accurate and latest building and landuse information for improved tax assessment and collection. Image segmentation has been performed on UAV imagery applied to differentiate rooftop surfaces from other features such as roads and vegetation using gray level thresholding. An example-based feature extraction algorithm was adopted to extract the land parcel and rooftop surfaces from the segmented image. Further, DSM and DTM derived from UAV imagery were used to determine the height of the buildings by extraction of terrain points and rooftop points. The extracted building height was used to estimate the numbers of floors in the building using thresholding. The number of floors and rooftop area were used to derive the total floor area of each building. The property tax to be levied for each building was calculated automatically using total floor area in efficient and scientific manner. The UAV imagery used in the study enabled rapid mapping of buildings parcels for tax assessment compared to conventional mapping methods.

中文翻译：

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来自无人机多光谱图像的自动税收映射

税收映射是有效管理房地产和税收管理的基本要素，为在印度有效实施政府治理实践铺平了道路。单个建筑物及其属性的传统制图涉及大量工作且耗时。高分辨率无人机图像的使用通过提供准确和最新的建筑和土地使用信息以改进税收评估和征收，促进了地块、屋顶面积和高度的自动提取过程。已经对 UAV 图像进行了图像分割，用于使用灰度阈值将屋顶表面与其他特征（如道路和植被）区分开来。采用基于实例的特征提取算法从分割图像中提取地块和屋顶表面。更多，来自无人机图像的 DSM 和 DTM 用于通过提取地形点和屋顶点来确定建筑物的高度。提取的建筑物高度用于使用阈值估计建筑物中的楼层数。楼层数和屋顶面积用于推导出每栋建筑的总建筑面积。每栋楼征收的房产税采用总建筑面积自动计算，高效、科学。与传统的地图绘制方法相比，研究中使用的无人机图像能够快速绘制建筑物地块以进行税收评估。楼层数和屋顶面积用于推导出每栋建筑的总建筑面积。每栋楼征收的房产税采用总建筑面积自动计算，高效、科学。与传统的地图绘制方法相比，研究中使用的无人机图像能够快速绘制建筑物地块以进行税收评估。楼层数和屋顶面积用于推导出每栋建筑的总建筑面积。每栋楼征收的房产税采用总建筑面积自动计算，高效、科学。与传统的地图绘制方法相比，研究中使用的无人机图像能够快速绘制建筑物地块以进行税收评估。