Weibao Zou

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Image classification is a challenging problem in organizing a large image database. However, an effective method for such an objective is still under investigation. A method based on wavelet analysis to extract features for image classification is presented in this paper. After an image is decomposed by wavelet, the statistics of its features can be(More)
In this paper, a method based on wavelet coefficients in low-pass bands is proposed for the image classification with adaptive processing of data structures to organize a large image database. After an image is decomposed by wavelet, its features can be characterized by the distribution of histograms of wavelet coefficients. The coefficients are(More)
Image classification is a challenging problem in organizing a large image database. However, an effective method for such an objective is still under investigation. This paper presents a method based on wavelet for image classification with adaptive processing of data structures. After decomposed by wavelet, the features of an image can be reflected by the(More)
Image classification is a challenging problem in organizing a large image database. However, an effective method for such an objective is still under investigation. This paper presents a method based on wavelet and independent analysis component (ICA) for image classification with adaptive processing of data structures. With wavelet, an image is decomposed(More)
Neural network has been increasingly used in remote sensing image classification in the last few decades. Nevertheless, an efficient method for high resolution remote sensing image classification, particularly panchromatic (PAN) image, is still under investigation. This work presents a neural network classification method for urban land cover mapping using(More)
From the study of attention-driven image interpretation and retrieval, we have found that an attention-driven strategy is able to extract important objects from an image and then focus the attentive objects while retrieving images. However, besides the images with distinct objects, there are images which do not show distinct objects. In this paper, the(More)
A structured-based neural network (NN) with Backpropagation Through Structure (BPTS) algorithm is conducted for image classification in organizing a large image database, which is a challenging problem under investigation. Many factors can affect the results of image classification. One of the most important factors is the architecture of a NN which(More)
Spaceborne Interferometric Synthetic Aperture Radar (InSAR) has been demonstrated to be a potential tool for generating digital elevation models (DEM). The co-registration of SAR complex images is one of the most important processing procedures involved in InSAR. The quality of the co-registration significantly influences the final quality of any SAR(More)
Interferometric Synthetic Aperture Radar (InSAR) is a new measurement technology, making use of the phase information contained in the Synthetic Aperture Radar (SAR) images. InSAR has been recognized as a potential tool for the generation of digital elevation models (DEMs) and the measurement of ground surface deformations. However, many critical factors(More)