Abstract: Automatic classification of terrain surfaces from aerial imagery is essential for military planning, unmanned ground vehicle navigation, ...
ABSTRACT. Automatic classification of terrain surfaces from aerial imagery is essential for military planning, unmanned ground.
Bibliographic details on An ontology-based multi-class terrain surface classification system for aerial imagery.
An ontology-based multi-class terrain surface classification system for aerial imagery. ... A novel content-adaptive image compression system. VCIP 2012: 1-6 ...
In this paper we present a terrain surface classification system based on classification ontology to deal with complex multi-class terrain surface ...
An ontology-based multi-class terrain surface classification system for aerial imagery. In 2012 IEEE International Conference on Emerging Signal Processing ...
An ontology-based multi-class terrain surface classification system for aerial imagery. Article. Jan 2012. Lei Zhang · Hai Wei · Jiejie Zhu ...
In this paper, we present an approach to classify and detect building footprints, foliage areas, road-grass, and bare ground in a grayscale satellite image ( ...
In this paper, we apply Object-Based Image Analysis (OBIA) methods to extract buildings from Airborne Laser Scanner (ALS) data and investigate the possibility ...
Nov 5, 2017 · This paper presents a framework in which satellite images are classified and augmented with additional semantic information to enable ...
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