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With the advent of digital sensor, the requirement for new Photogrammetric software is urgent to quick object information extraction from high-resolution stereo pairs. This paper describes an effectiv...
Remote sensing techniques have been commonly used to map land cover and land use types. For many applications, users may only be interested in a specific land class in an image such as extracting urba...
Object-Relational Database (ORDB) techniques are developed rapidly in recent years and widely used for spatial data storage and manipulation. The ORDB has strong basis both on theories and application...
ON-BOARD SATELLITE IMAGE COMPRESSION BY OBJECT-FEATURE EXTRACTION     Satellite  Hyper Spectral  On-line       font style='font-size:12px;'> 2015/6/2
Recent developments in sensor technology make possible Earth observational remote sensing systems with high spectral resolution and data dimensionality. As a result, the flow of data from satellite-...
OBJECT DETECTION USING NEURAL SELF-ORGANIZATION     Neural networks  Object detection  Modeling       font style='font-size:12px;'> 2015/6/1
The paper presents a novel artificial neural network type, which is based on the learning rule of the Kohonen-type SOM model. The developed Self-Organizing Neuron Graph (SONG) has a flexible graph s...
This paper proposes a method of objects extraction based high and color texture features. Trees or forests are interested objects in this paper, which are higher than their surroundings. According t...
a new approach toward object-based change detection     change detection  object-based  segmentation  mean shift  intensity  texture  integration       font style='font-size:12px;'> 2016/4/11
Object-based change detection has been the hotspot in remote sensing image processing. Mean shift procedure, a non-parametric feature space analysis technique, is elaborated and used to segment images...

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