Dai Qin

A Hybrid PSO-ISODATA Algorithm for Remote Sensing Image Segmentation

Remote sensing image segmentation is a very important process in the remote sensing information extraction area. In order to avoid disadvantages of the current algorithms, this paper proposed a new algorithm combined PSO and ISODATA. The hybrid PSO-ISODATA algorithm first changes the color space of the images. Then, the initial cluster number is determined by the combined algorithm, and finally, the automatic segmentation of remote sensing images is achieved through multiple iterations. Many segmentation experiments on different spatial resolution remote sensing images using the proposed methods in this paper, we also compared the method to the current existing methods such as K-means, PSO, ISODATA, and PSO-K-means methods. The results show that the hybrid PSO-ISODATA algorithm can determine the initial cluster number adaptively, avoid the local optima of K-means and ISODATA algorithms, increase the searching capability of PSO, and the segmentation results are much more close to the actual situation.

A Hybrid PSO and Active Learning SVM Model for Relevance Feedback in the Content-Based Images Retrieval

Relevance feedback (RF) based on Support Vector Machines (SVMs) has been widely used in the Content-based image retrieval (CBIR). However, three problems are confronted: how to choose the optimal input feature subset, how to set the best kernel parameters, and the training data is scare in the RF procedure. To address those problems, an improved relevance feedback system based on hybrid PSO and active learning SVM model was proposed in this text. In the new model, the PSO with/without feature selection can optimal the parameters ( and ) and sub-features in the SVM classifier. And, the active SVM was applied on actively selecting most information images that minimizes redundancy between the candidate images shown to the user. The experimental results show the proposed approach has the speedy convergence and good results in the relevant feedback system.