东南大学学报（自然科学版）Issue(z2)：325-328,4.DOI:10.3969/j.issn.1001-0505.2013.S2.023
基于 RPC 模型的建筑物高度提取技术
Building height extraction technique based on RPC model
摘要
Abstract
In order to calculate the building volume rate of a traffic area, the height of a building and its number of floors are exacted directly from a single high resolution satellite image by using the RPC( rational polynomail cofficient) model.First, the geodetic coordinates of the basement corner point of the building are measured in the corrected image, while the image coordinates of the base-ment corner point and the roof corner point on the same plumb line are measured respectively.Then, the measured results are standardized.Finally, the geodetic heights of the basement corner point and the roof corner point of the building are obtained after iterative calculation in the RPC model, whose difference is the height of the building.The experimental results show that the RMSE ( root mean square errors) of the building height extracted using the RPC method from QuickBird image which has spatial resolution of 0.61 m is ±0.57 m, and that from the IKONOS image which has spatial resolution of 1.0 m is ±0.80 m, indicating that the overall accuracy of the RPC method is within 1 pixel.关键词
RPC模型/建筑物高度提取/高分辨率遥感/IKONOS/QuickBirdKey words
RPC ( rational polynomail cofficient) model/building height extraction/high resolution remote sensing/IKONOS/QuickBird分类
天文与地球科学引用本文复制引用
戚浩平,张利,杨波,申佩佩..基于 RPC 模型的建筑物高度提取技术[J].东南大学学报（自然科学版）,2013,(z2):325-328,4.基金项目
国家自然科学基金重点资助项目（51338003）、中国地质调查局资助项目（12120113099800）． （）
