The objective of this work is to identify geological circular forms, impact and volcano craters using satellite images. The recognition of objects (circular forms) is the last step in a processing chain which can be d...
详细信息
ISBN:
(纸本)0769513301
The objective of this work is to identify geological circular forms, impact and volcano craters using satellite images. The recognition of objects (circular forms) is the last step in a processing chain which can be described in four phases: imageprocessing, pattern detection, patternrecognition, and identification of the targets (models). The work presents the detection of circular forms in images including the south region of the Minas Gerais State in Brazil.
In the paper, according to characteristics of SST image of satellite remotesensing, we study the detection and recognition of Ocean Meso-scale Eddy. In the research, several methods of imageprocessing are used.
ISBN:
(纸本)0819442763
In the paper, according to characteristics of SST image of satellite remotesensing, we study the detection and recognition of Ocean Meso-scale Eddy. In the research, several methods of imageprocessing are used.
The aim of the work is To propose a methodology for spatial/spectral analysis of urban patterns using neural network. To address the problem of spectral ambiguity and spatial complexity related to built-up patterns a ...
详细信息
ISBN:
(纸本)081943826X
The aim of the work is To propose a methodology for spatial/spectral analysis of urban patterns using neural network. To address the problem of spectral ambiguity and spatial complexity related to built-up patterns a two-stage classification procedure based on Multi-Layer Perceptron, is proposed. The first stage is devoted to generate discriminating features for problematic patterns by a supervised soft classification It uses a moving window to evaluate the neighbouring influences during the classification. The spatial relationships among the window pixels to be classified are not explicitly formalised, but the corresponding window is directly presented as input to the neural network classifier. The generated features are used in the second stage for complete land cover mapping. For an experimental evaluation the strategy has been applied to the classification of natural colour aerial photographs acquired over heterogeneous landscape, including urban patterns, and characterised by high spatial resolution and low spectral information. The proposed methodology for the extraction of urban patterns proved to be accurate and robust besides transferable.
This paper introduces an application of land-cover changes detection based on remotesensingimage analysis. The main purpose of this study is to monitor urban expansions and the changes from cultivate land to constru...
详细信息
ISBN:
(纸本)0819442763
This paper introduces an application of land-cover changes detection based on remotesensingimage analysis. The main purpose of this study is to monitor urban expansions and the changes from cultivate land to construction land with multitemporal TM image and SPOT image. Data fusion, image enhancement and texture analysis techniques are used in this case study. The effectiveness of the proposed approach is confirmed by experimental results carried out on remotesensing data of Jinzhou area in Dalian, China.
A description of an approach to primary local imagerecognition is given. The motivation for its application and its characteristics are discussed. Then a method for correction of misclassifications that occur in prim...
详细信息
ISBN:
(纸本)081943826X
A description of an approach to primary local imagerecognition is given. The motivation for its application and its characteristics are discussed. Then a method for correction of misclassifications that occur in primary local imagerecognition is proposed. This method uses a graph-based estimation technique that uses information contained in supplementary classes in order to remove misclassifications and/or confirm the correct recognition of pixel hypotheses. In addition, the method is able to remove the supplementary classes after they are no longer needed. The particular features of the considered approach are that it is iterative and uses structures similar to those of center weighted median filters. The numerical simulation results are presented to illustrate the efficiency of the proposed technique.
The problem of Map-matching is one key problem in the field of aircraft and vehicle guidance. It deals with the technologies of remotesensing, computer vision, imageprocessing and patternrecognition, etc. Researche...
详细信息
ISBN:
(纸本)0819442836
The problem of Map-matching is one key problem in the field of aircraft and vehicle guidance. It deals with the technologies of remotesensing, computer vision, imageprocessing and patternrecognition, etc. Researchers are focusing on how to improve the system's performance, to reduce the searching times and error matching probability [1]. With using an improved quadtree image representative method and the idea of the sequential similarity detection algorithm (SSDA), a hierarchical map-matching algorithm based on embedded MPP system is designed in this paper. The algorithm can greatly reduce matching times and improve locate accuracy.
This contribution describes a new approach for detection of shadow areas appearing in remotesensingimage data. Identification of objects like streets or vehicles is frequently disturbed by illumination effects like ...
详细信息
ISBN:
(纸本)0780367154
This contribution describes a new approach for detection of shadow areas appearing in remotesensingimage data. Identification of objects like streets or vehicles is frequently disturbed by illumination effects like hard shadows or inhomogenous darkening due to varying tilt angles of the processed terrain. To increase the reliability of the recognition process, we apply a sensor fusion of elevation data from laserscanning and optical image data. The represented algorithm improves the results iteratively. The different results are discussed and then used for further processing within a radiometric equalization.
A novel approach to the automatic classification of remote sensed images is proposed. This approach is based on a three-phase procedure: first pixels which belong to the areas of interest with large likelihood are sel...
详细信息
ISBN:
(纸本)0769511848
A novel approach to the automatic classification of remote sensed images is proposed. This approach is based on a three-phase procedure: first pixels which belong to the areas of interest with large likelihood are selected as seeds;second the seeds are refined into connected shapes using two well known imageprocessing techniques;third the results of the shape refinement algorithms are merged together The initial seed extraction is performed using a simple thresholding strategy applied to NDVI4-3 index. Subsequently shape refinement through Seeded Region Growing and Watershed Decomposition is applied, finally a merging procedure is applied to build likelihood maps, Experimental results are presented to analyze the correctness and robustness of the method in recognizing vegetation areas around Mount Etna.
An automatic accurate recognition scheme for large-scale structures such as ocean currents, eddies and water masses is an essential technology for extracting environmental information and fishing resource. In this pap...
详细信息
ISBN:
(纸本)0819441864
An automatic accurate recognition scheme for large-scale structures such as ocean currents, eddies and water masses is an essential technology for extracting environmental information and fishing resource. In this paper, new autonomous recognition schemes based on knowledge-base approaches are derived. And a fundamental scheme for enabling processing to be carried out by small-scale computer architectures is developed. These schemes can greatly reduce the amount of data required to describe large-scale structures like ocean eddies and/or ocean currents, and are therefore expected to be very useful for the autonomous on-orbit processing of ocean observation data. Some applications of the schemes to the recognition of moving shapes in noisy images remotely sensed from Earth orbits are also presented with evaluative experimental results.
作者：
Li, YPeng, JHuazhong Univ Sci & Technol
State Educ Commiss Lab Image Informat & Intellige Inst Pattern Recognit & Artificial Intelligence Wuhan Peoples R China
A new algorithm to estimate Hurst parameter is introduced in this work A remotesensing texture is modeled as a fBm process. Since fBm is characterized by only one Hurst parameter, it is not flexible enough to model t...
详细信息
ISBN:
(纸本)081944278X
A new algorithm to estimate Hurst parameter is introduced in this work A remotesensing texture is modeled as a fBm process. Since fBm is characterized by only one Hurst parameter, it is not flexible enough to model the short-term correlation structure. Therefore extended models were proposed to settle this problem. Noting that the track of the logarithm delta variances is certain, and the slopes k(s) of the piecewise lines characterize the specific texture, we use k(s)/2 to estimate the multiscale Hurst parameters of the digital image. Since the new features characterize the textures in a multi-scale way and meet with the characters of the natural processes, they perform better than the existing features based on fractal models and wavelet transforms.
暂无评论