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This paper presents a super-resolution mapping technique as a means to gain accurate information of land cover, and especially its spatial pattern, at a sub-pixel scale. This technique extends the application of an established Hopfield neural network of super-resolution mapping technique by providing its input with a fusion of a time series coarse spatial but fine temporal resolution images. To illustrate...
Introducing the sensor spectral response into the wavelet-based image fusion methods may produce images closer to which obtained by the ideal sensor. But the wavelet-based image fusion methods are complex because of the wavelet decomposition. This paper presents a simplified image fusion method using sensor spectral response which derives from a wavelet-based one, but need not to do the wavelet decomposition...
Classification of high resolution urban remote sensing imagery is addressed. The classification is done by both considering the panchromatic imagery and the multi-spectral image obtained using the spectrally consistent fusion method introduced in [1]. The data are classified using support vector machines (SVM). To further enhance the classification accuracy, mathematical morphology is used to derive...
Data Fusion refers to extracting useful information from multisource data such as remotely sensed images and GIS datasets. The emergence of ANN (Artificial Neural Network)-based approaches has greatly promote the data fusion technology in remote sensing classifications. But the traditional ANN-based approach still has some drawbacks, especially in the step of weight training. Hence, this paper proposes...
In this paper, we propose a model based approach for multi-resolution fusion of remotely sensed images. We obtain a high spatial resolution (HR) and high spectral resolution multi-spectral (MS) image using a high spatial resolution Panchromatic (Pan) image and a low spatial resolution (LR) MS image. This problem is ill-posed since we need to predict the missing high resolution pixels in each of the...
Depth map estimation plays the fundamental role in 3D shape. This paper deals with one aspect of the depth map estimation, i.e., the calculation of optimum window size which is required for focus measure computation. The variation in windows size correspondingly results in variation of depth maps. Therefore, it is important to choose the correct window size for depth map computation. This paper presents...
Recent research shows that local similarity calculations play a significant role in improving the recognition performance of template matching systems. We present a new scheme for parametric similarity calculation and fusion for image classification. State-of-the-art recognition results are obtained using the proposed method for a difficult task involving face images.
This paper presents a novel image fusion methods, suitable for the sharpening of a hyperspectral (HS) image by means of a panchromatic (Pan) observation. The HS bands are expanded to the scale of the Pan image and sharpened by modulating HS pixel vectors by the ratio of the Pan image to its lowpass-filtered version. The main advantage of the proposed approach is that the spectral angle of pixel vectors...
Investigation of civil engineering materials includes a wide range of applications that requires three-dimensional (3D) information. Complex structures shapes and formations within heterogeneous artificial/natural land covers under varying environmental conditions requires knowledge on the 3D status of the urban materials for better (visual) interpretation of polluted sources. Obtaining 3D information...
Emergency Response Mechanism (ERM) for remote sensed image sequential deficiency is extremely crucial and the concerned researches are in urgent need. STARFM (Spatial and Temporal Adaptive Reflectance Fusion Model, STARFM) is such a fusion method for image sequences prediction, which is a sound theoretical and valid applicable approach. Gao et al. have successfully produced synthetic Landsat imagery...
The Scale Invariant Feature Transform (SIFT) has been widely used in remote sensing image registration. However, there are many false matches when it is adopted to align images of different sensors. In this paper, a new method based on the combination of image classification and SIFT descriptor is proposed to improve the performance of registration. Experiment results support the potential of the...
Myopia is a growing concern in many societies. In extremely high myopia, pathological myopia, which can cause visual loss, can occur. Pathological myopia is also accompanied by various visually perceivable symptoms on the retina, such as peripapillary atrophy. PAMELA is an automatic system for the detection of pathological myopia through the presence of peripapillary atrophy. In this paper, we describe...
According to the microstructure' characteristics of multi player thin film materials images under AFM, SEM and TEM, mathematical morphology and theories of non-local algorithm were used in image processing of multiplayer thin films, including noise reduction, enhancement, fusion and object segmentation. Through analysis of multiplayer thin films' surface microstructure, thin films images were improved...
This paper proposes a new stereo model which encodes the simple assumption that the scene is composed of a few, smooth surfaces. A key feature of our model is the surface-based representation, where each pixel is assigned to a 3D surface (planes or B-splines). This representation enables several important contributions: Firstly, we formulate a higher-order prior which states that pixels of similar...
Background modeling plays an important role in video surveillance, yet in complex scenes it is still a challenging problem. Among many difficulties, problems caused by illumination variations and dynamic backgrounds are the key aspects. In this work, we develop an efficient background subtraction framework to tackle these problems. First, we propose a scale invariant local ternary pattern operator,...
Image fusion aims at processing and synthesizing information provided by various sensors. Contourlet is a novel multi-scale geometric analysis tool; it provides many advantages in comparison with conventional multi-resolution analysis. This article proposes a novel method to fuse images based on improved contourlet transform. The fusion rules adopted the local energy method, which can preserve more...
This paper introduces the concept of the image fusion technology and its division level. Image fusion by the different levels of information abstraction can be divided into three levels: Pixel-level fusion, Feature-level fusion and Decision-level fusion. It reviews the image fusion at pixel level technology and probes into the form of image fusion method of evaluation criteria. At last it gives the...
To reduce the image collection condition in image mosaic, enhance the adaptability and flexibility of stitching algorithm, this paper presents a pixel from the feature extraction, matching between the image pixel transformation estimates and robust algorithm for automatic fusion splicing. The experimental results show that the algorithm not only maintained a good image stitching accuracy and robustness,...
In this paper, the license plate recognition, in the case of the character's local information missing and the license plate partially obstructed, is taken as the research objective. According to the visual identification features that the overall message can be inferred from local information, the characters whose local information missing in the license plate can be deduced from the local evidence...
An algorithm is proposed for performing underwater mine classification when provided with multiple synthetic aperture sonar (SAS) views of each object. The proposed method consists of three main steps. First, the multiple images of a given object are registered to a common reference frame. Second, the registered images are fused to form a single image, thereby allowing all of the information contained...
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