PERFORMANCE VALIDATION OF HIGH RESOLUTION DIGITAL SURFACE MODELS GENERATED BY DENSE IMAGE MATCHING WITH THE AERIAL IMAGES


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YASTIKLI N., BAYRAKTAR H., Erisir Z.

ISPRS Technical Commission I Symposium, Colorado, United States Of America, 17 - 20 November 2014, pp.429-433 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.5194/isprsarchives-xl-1-429-2014
  • City: Colorado
  • Country: United States Of America
  • Page Numbers: pp.429-433
  • Yıldız Technical University Affiliated: Yes

Abstract

The digital surface models (DSM) are the most popular products to determine visible surface of Earth which includes all non-terrain objects such as vegetation, forest, and man-made constructions. The airborne light detection and ranging (LiDAR) is the preferred technique for high resolution DSM generation in local coverage. The automatic generation of the high resolution DSM is also possible with stereo image matching using the aerial images. The image matching algorithms usually rely on the feature based matching for DSM generation. First, feature points are extracted and then corresponding features are searched in the overlapping images. These image matching algorithms face with the problems in the areas which have repetitive pattern such as urban structure and forest.