3D Map Creation Based on Knowledgebase System for Texture Mapping Together with Height Estimation Using Objects’ Shadows with High Spatial Resolution Remote Sensing Satellite Imagery Data
Journal Title: International Journal of Advanced Research in Artificial Intelligence(IJARAI) - Year 2013, Vol 2, Issue 6
Abstract
Method for 3D map creation based on knowledgebase system for texture mapping together with height estimation using objects’ shadows with high spatial resolution of remote sensing satellite imagery data is proposed. Through the experiments with IKONOS imagery data, the proposed method is validated.
Authors and Affiliations
Kohei Arai
Evaluating Sentiment Analysis Methods and Identifying Scope of Negation in Newspaper Articles
Automatic detection of linguistic negation in free text is a demanding need for many text processing applications including Sentiment Analysis. Our system uses online news archives from two different resources name...
The Mobile Version of the Predicted Energy Efficient Bee-Inspired Routing (PEEBR)
In this paper, the previously proposed Predictive Energy Efficient Bee-inspired Routing (PEEBR) family of routing optimization algorithms based on the Artificial Bees Colony (ABC) Optimization model is extended fro...
Improving Performance Analysis Of Routing Efficiency In Wireless Sensor Networks Using Greedy Algorithm
The void problem causing the routing failure is the main challenge of the greedy routing in the wireless sensor networks. The current research work still can not fully deal with the void problem since the excessive...
Numerical Deviation Based Optimization Method for Estimation of Total Column CO2 Measured with Ground Based Fourier Transformation Sepectormeter: FTS Data
Numerical deviation based optimization method for estimation of total column CO2 measured with ground based Fourier Transformation Spectormeter: FTS data is proposed. Through experiments with aircraft based sample...
Image Clustering Method Based on Self Organization Mapping: SOM Derived Density Maps and Its Application for Landsat Thematic Mapper Image
A new method for image clustering with density maps derived from Self-Organizing Maps (SOM) is proposed together with a clarification of learning processes during a construction of clusters. Simulation studies and...