Using high-resolution remote sensing images for 3D modeling of urban buildings is widely common. However, the processing of shadows plays a vital role in 3D visualization, and the shadows in urban areas is more complicated. Hence, the research on shadow restoration is essential. The paper introduces the reconstructed DEM model data as prior knowledge, uses the characteristics of sunlight shadows and shadows in different channels for shadow detection, and finally proposes a shadow compensation method based on the Wallis filter principle and improved logarithmic transformation combined with shadow local enhancement, to compensate the detected shadows.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.