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Automatic Mapping of Linear Woody Vegetation Features in Agricultural Landscapes Using
 

Summary: 1
Automatic Mapping of Linear Woody Vegetation
Features in Agricultural Landscapes Using
Very High-Resolution Imagery
Selim Aksoy, Member, IEEE, H. G¨okhan Akc¸ay, Tom Wassenaar
Abstract--Automatic mapping and monitoring of agricultural
landscapes using remotely sensed imagery has been an important
research problem. This paper describes our work on developing
automatic methods for the detection of target landscape features
in very high spatial resolution images. The target objects of
interest consist of linear strips of woody vegetation that include
hedgerows and riparian vegetation that are important elements of
the landscape ecology and biodiversity. The proposed framework
exploits the spectral, textural, and shape properties of objects
using hierarchical feature extraction and decision making steps.
First, a multi-feature and multi-scale strategy is used to be able
to cover different characteristics of these objects in a wide range
of landscapes. Discriminant functions trained on combinations
of spectral and textural features are used to select the pixels
that may belong to candidate objects. Then, a shape analysis

  

Source: Aksoy, Selim - Department of Computer Engineering, Bilkent University

 

Collections: Computer Technologies and Information Sciences