Remote sensing technique combines images and lidar data to identify changes in cityscapes

Three researchers at the National Central University have developed way of identifying altered features of urban areas by comparing existing building models with new lidar data points and aerial images.

Three researchers at theNational Central University (Jhongli, Taiwan) have developed way of identifying altered features of urban areas by comparing existing building models with new lidar data points and aerial images. The researchers, Liang-Chien Chen, Li-Jer Lin, and Wen-Chi Chang, have improved on current methods in which changes are usually measured by spectral analysis of aerial images and lidar data.

In their technique, they sought to integrate the lidar data and aerial images into a single system that detects changes in a landscape by comparing old 3-D building models with newly obtained imagery. To improve accuracy, they use a double-thresholding strategy.

Their work has been published online at theSPIE Newsroom.

--Posted byVision Systems Design

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