An Efficient Parallel Multi-Scale Segmentation Method for Remote Sensing Imagery

Mseg: a Generic Region-based Multi-scale Image Segmentation Algorithm for Remote Sensing Imagery

The objective of this research was the development of a generic image segmentation algorithm, as a low level processing part of an integrated object-oriented image analysis system. The implemented algorithm is called Mseg and can be described as a region merging procedure. The first primitive object representation is the single image pixel. Through iterative pairwise object fusions, which are m...

An Efficient Hybrid Classification System for Mining Multi-spectral Remote Sensing Imagery Guided by Spatial Databases

Information Mining from Remote Sensing Imagery Based on Multi-scale and Multi-feature Processing Techniques

The paper attempts to present an information extraction approach in terms of image segmentation based on an object-oriented algorithm for high-resolution remote sensing images. The hierarchy frame and multi-features of the remote sensing image understanding and processing method are put forward. Firstly we extract various internal features of relatively homogeneous primitive objects using an im...

Multi-agent Remote Sensing Image Segmentation Algorithm

Due to fractal network evolution algorithm (FNEA) in the treatment of the high spatial resolution remote sensing image (HSRI) using a parallel global control strategies which limited when the objects in each cycle by traversal of and not good use the continuity of homogenous area on the space and lead to problems such as bad image segmentation, therefore puts forward the remote sensing image se...

A new bio-inspired method for remote sensing imagery classification

The problem of supervised classification of the satellite image is considered to be the task of grouping pixels into a number of homogeneous regions in space intensity. This paper proposes a novel approach that combines a radial basic function clustering network with a growing neural gas include utility factor classifier to yield improved solutions, obtained with previous networks. The double o...