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Because different types of ground objects have different spatial and spectrum characteristics, automatic and accurate extraction of different thematic objects from remote sensing without spatial conflict and topology conflict is still a challenge. The design of special thematic intelligent Agents to recognize special objects in high-resolution remote sensing images is useful for object extraction...
With the development of Voronoi theory and algorithm, more and more attention was paid in the application of Voronoi in Cartography. In this paper, Voronoi Diagram and its applications were briefly introduced at first. Then the author focused on its applications in Cartography from the identification and extraction of map information, map generalization, automatic name placement and other aspects...
Green coverage is an important indicator of health status of rangeland, and it's meaningful to improve the efficiency, accuracy and objectivity of green coverage measurement. Digital image analysis (DIA) technique becomes more attractive; however, there have been few advances in automatic measurement methods. In this paper, we automate rangeland green coverage measure by DIA, which is a novel threshold...
TSR (Traffic sign recognition) is an important research field in ITS (Intelligent traffic system), which is being paid more and more attention for realizing drivers assisting system and automated navigation etc. Author proposed a new method to detect traffic signs in outdoor scene. The method is divided into 2 step. Firstly, Two-way integration method including both methods drived by task and methods...
The precision of road damage detection in disaster area from high resolution remote sensing images is general low because the current methods are mainly based on pixels and can't combine with the already existing GIS information. This paper presents an object-oriented road damage detection method. First and foremost, Multi-scale segmentation technology is adopted to get image objects, and then the...
With frequent occurrence of natural disasters such as typhoons, and earthquakes annually, Taiwan suffers heavy rains that caused frequent collapses of ridges and mud slides. The objective of this study is to use high-resolution DTM data and their extended geo-morphometric features. Through distinguishing color and geo-morphometric features, the images can be split and merged to form regions. Then,...
A new approach to segment building points from raw LiDAR data by the integration of LiDAR data and imagery is proposed. The segmentation of coarse building point from LiDAR data is executed by using the algorithm proposed by Zhang et al. [1]. A new dynamic triangle-based algorithm is presented to obtain the precise building points by the refinement of the coarse building data. This new dynamic triangle-based...
Based on the analysis of the existing problems in pixel-based image processing and object based image analysis (OBIA), this paper proposed a Geographic Unit Sequences (GUS) based image analysis approach, designed to apply geographic ontology knowledge to object based image analysis, so that the image analysis results become the carriers of geographic principle rather than the distribution of land...
Texture is an important element for visualization of 3D city models and often takes a big proportion of the total data volume. In order to simplify 3D city model textures for dynamic visualization in different scales, a multiple representation data structure, TextureTree is proposed to store building textures in different LoDs. First, the texture image is iteratively segmented by horizontal or vertical...
Statistical Pattern Recognition is one of the basic techniques for land use/land cover classification of remote sensing image. Focusing on establishing a method to integrate statistical pattern recognition with geosciences' analysis, this paper proposed a segmentation-based remotely sensed imagery classification method, called ISODATA-Geosciences Imagery Classification (ISOGIC). The result from case...
The land use change detection methods using remote sensing data have been studied for a long term. All of these methods can be divided into three levels: pixel-level, feature-level and knowledge-level. In this paper, the advantages and disadvantages of these methods are analyzed, and a novel approach is proposed to detect the land use changes using the object-based feature consistency analysis. The...
In this paper, a novel method which has been developed for preliminary optimal general route location is presented. The developed method has two main stages. In first stage, an initial set of proposed route locations are optimized individually using active contours (Snakes) algorithm based on satellite image grey level values. Afterwards, in the second stage, the resulting alternative optimal route...
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