Urban Build-Up Building Change Detection Using Morphology Based on GIS
Abstract
Rapid urbanization has significant impact on resources and urban environment. In this study, building growth change detection is investigated. To accurate the position of building extraction index, image registration is used that seeks to remove the two-date geometric inconsistent angle with the use of control point selection of latitude and longitude on geographic coordinate system. It is significantly reduce error rates and improve overall accuracy of change detection process. The modified Morphological Building Index (MBI) is applied to extract building features to know how much area has changed. In this system, height information is not considered for building extraction because of without using multispectral band images and Depth. Then, matching-based change rule is applied to obtain changes area of urban region. The experiments show that the proposed method can achieve satisfactory correctness rates with a low level of error rate by comparing with Change Vector Analysis (CVA) method.
Keywords
Modified MBI Control point Change rule CVAPreview
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