Based on lifting scheme and the construction theorem of the integer. Haar wavelet and biorthogonal wavelet, we propose a new integer wavelet transform construct method on the basis of lift scheme after introduction of...
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ISBN:
(纸本)081944684X
Based on lifting scheme and the construction theorem of the integer. Haar wavelet and biorthogonal wavelet, we propose a new integer wavelet transform construct method on the basis of lift scheme after introduction of constructing specific-demand biorthogonal wavelet transform using Harr wavelet and Lazy wavelet. In this paper, we represent the method and algorithm of the lifting scheme, and we also give mathematical formulation on this method and experimental results as well.
Many types of feature extracting of RS image are analyzed, and the work procedure of pattern recognizing in RS images of seismic disaster is proposed. The aerial RS image of Tangshan Great Earthquake is processed, and...
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ISBN:
(纸本)0819451819
Many types of feature extracting of RS image are analyzed, and the work procedure of pattern recognizing in RS images of seismic disaster is proposed. The aerial RS image of Tangshan Great Earthquake is processed, and the digital features of various typical seismic disaster on the RS image is calculated.
This paper provides a useful method to derive coastline information from TM/ETM imagery. When the accurate cartography data of study district are rare or out of date, the data of remotesensing (RS) are further more i...
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ISBN:
(纸本)081944684X
This paper provides a useful method to derive coastline information from TM/ETM imagery. When the accurate cartography data of study district are rare or out of date, the data of remotesensing (RS) are further more important. It gives the data processing workflow and the necessary working steps to be taken in the processing of coastline fetching. The coastline information in Fujian province of China is derived using this method and it fits the 1:100000 scale map very well. At last, as a argument, a kind of high resolution RS data, IKNOS imagery is also presented, which will be mainly used in the coastline information fetching in the future.
In this paper a new pattern or feature abstraction algorithm was developed simulating our human eyes scan on situation leapingly and focus its attention only to limited space, in order to make a physiognomic analysis ...
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ISBN:
(纸本)081944684X
In this paper a new pattern or feature abstraction algorithm was developed simulating our human eyes scan on situation leapingly and focus its attention only to limited space, in order to make a physiognomic analysis of the remotesensingimages of the earth's surface, in the end to acquire a description like that in where the foothill, the forest, the desert or the alluvial pie slice was, and so on. At first a size-changeable and edge-fuzzy window was designed to get many samples of the earth's surface through sliding around the image, all these samples served for the learning of a Support Vector Machine model, which was designed to make pattern's classifications. This process was repeated in different area, with different sampling size, to different pattern and lasting different times. Once some distinct local patterns were found and mastered, a self-organizing of comparability assembling will happen based on the similarity of some types of local patterns to form a holistic description or understanding of the remotesensingimage. Our aim was to compartmentalize the image by physiognomic features. At the end of this paper the results of classification experiment and application of this method to some actual visible light images were presented. This method was suitable to extend to other patternrecognition problems with texture property.
An important aspect of hyperspectral patternrecognition is selecting a subset of bands to perform the classification. This is generally necessary because the statistical algorithms on which classification is based ne...
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ISBN:
(纸本)081944667X
An important aspect of hyperspectral patternrecognition is selecting a subset of bands to perform the classification. This is generally necessary because the statistical algorithms on which classification is based need probabilistic estimates to work. The great number of spectral bands in hyperspectral images means that there is not enough data to accurately perform these estimates. In typical hyperspectral patternrecognition, the band selection and classification stages are done separately. This paper presents research done with an iterative system that integrates the band selection and classification. The objective is to choose an optimal subgroup of bands by maximizing the distance between the centroids of the classified data. The results of the study show that: (1) the algorithm correctly chooses the best bands based on centroid separability with synthetic data, (2) the system converges, and (3) the percentage of samples classified correctly using the iterative system is greater than the percentage using all the bands.
This paper is focused on the restoration of color remotesensingimage (including airborne photo). A complete approach is recommended. It propose that two main aspects should be concerned in restoring a remotesensing...
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ISBN:
(纸本)0819451819
This paper is focused on the restoration of color remotesensingimage (including airborne photo). A complete approach is recommended. It propose that two main aspects should be concerned in restoring a remotesensingimage, that are restoration of space information, restoration of photometric information. In this proposal, the restoration of space information can be performed by making the modulation transfer function (MTF) as degradation function, in which the MTF is obtained by measuring the edge curve of origin image. The restoration of photometric information can be performed by improved local maximum entropy algorithm. What's more, a valid approach in processing color remotesensingimage is recommended. That is splits the color remotesensingimage into three monochromatic images which corresponding three visible light bands and synthesizes the three images after being processed separately with psychological color vision restriction. Finally, three novel evaluation variables are obtained based on image restoration to evaluate the image restoration quality in space restoration quality and photometric restoration quality. An evaluation is provided at last.
This article introduces the processing procedure and key techniques of the CBERS-1 IRMSS 0-level imageprocessing system, includes pre-processing, radiation correction, and geometry correction. The main purpose of the...
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ISBN:
(纸本)081944684X
This article introduces the processing procedure and key techniques of the CBERS-1 IRMSS 0-level imageprocessing system, includes pre-processing, radiation correction, and geometry correction. The main purpose of the processing is that using image engineering method to remove the influence comes from camera's physical feature so as to improve the image quality.
Conventional classification methods cannot recognize the phenomena of "same spectrum with different land matters" so as to degrade classification accuracy. To solve the problem, this paper proposes a new cla...
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ISBN:
(纸本)081944684X
Conventional classification methods cannot recognize the phenomena of "same spectrum with different land matters" so as to degrade classification accuracy. To solve the problem, this paper proposes a new classification method using neural network based on generalized image, where the space information of the image are exploited. Firstly, we combine the original image with its smoothed image to form a binary set called as a "generalized image", which contains the space information of the original image. Secondly, we make use of artificial neural networks (ANN) to train and classify the "generalized image". Finally, we get the classification result of the original image from that of the "generalized image". Experiment results show that the new method is very efficient, and the classification accuracy is improved largely compared with the classic ANN method.
A weighted neighbour intensity interpolation for resampling of remotesensingimagery has been developed. Examples of the resampling of ScaStar SeaWiFS images by the interpolation are presented in this paper. The weig...
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ISBN:
(纸本)081944684X
A weighted neighbour intensity interpolation for resampling of remotesensingimagery has been developed. Examples of the resampling of ScaStar SeaWiFS images by the interpolation are presented in this paper. The weighted neighbour intensity interpolation has been compared with other intensity interpolations. Advantages and disadvantages of the weighted neighbour intensity interpolation over others have been discussed.
We attempted a method of fusing a coarse resolution hyperspectral image and a high spatial resolution image with a few spectral bands to produce a high resolution hyperspectral image, and to extract the spectra of the...
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ISBN:
(纸本)081944684X
We attempted a method of fusing a coarse resolution hyperspectral image and a high spatial resolution image with a few spectral bands to produce a high resolution hyperspectral image, and to extract the spectra of the end-members. The method is based on the linear spectral mixing model and an iterative maximum-likelihood algorithm is used to invert the mixing equation. The effects of noise and misregistraion error are investigated. Misregistration seems to be a main factor determining the accuracy of the final products.
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