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.
A new hyperspectral image compression algorithm-NMST (Near Min Spanning Tree) is proposed. The near minimum spanning tree is constructed according to the image structure and is taken as a prediction tree in image comp...
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ISBN:
(纸本)081944684X
A new hyperspectral image compression algorithm-NMST (Near Min Spanning Tree) is proposed. The near minimum spanning tree is constructed according to the image structure and is taken as a prediction tree in image compression. The result shows the NMST algorithm can improve the compression speed with little decrease of compression ratio.
In this paper a residential area texture description based on the 3 x 3 region grey deviations is designed and the Gauss blur is applied to make the residential area in the texture character image possess accordant gr...
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ISBN:
(纸本)0819451819
In this paper a residential area texture description based on the 3 x 3 region grey deviations is designed and the Gauss blur is applied to make the residential area in the texture character image possess accordant grey value and limited contrast relative to the background area so as to obtain self-adaptive threshold for image segmentation And a skeleton processing is proposed to eliminate the road from the residential area. The experiment results of the semi-automatic extraction of the residential area in the remotesensingimage with 3 meters ground resolution show this technique is very simple and effective to the semi-automatic extraction of the residential area and can meet the precision requirement of the mapping and surveying with satellite images.
The development of the remotely sensed techniques enlarges the applications of the remotesensingimagery. The clustering of high resolution imagery is difficult, due to the fact that the minor objects, such as roads,...
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ISBN:
(纸本)081944684X
The development of the remotely sensed techniques enlarges the applications of the remotesensingimagery. The clustering of high resolution imagery is difficult, due to the fact that the minor objects, such as roads, make the appearance of the same category region non-uniform. This paper proposes a new approach to cluster high resolution remotesensingimagery. The new clustering approach includes three steps as the following: Firstly, eliminate the minor components in the moving windows. Secondly, compute the image features, such as the energy, some high order cumulants and central moments of pixels' values in moving windows. Lastly, apply the BPC neural network, which is combined by a Back-Propagation (BP) neural network and a Competive neural network, to cluster images according to the image features. Two methods, minimum distance method and the K -means method, are compared with the new clustering approach, proposed by this paper, by using SPOT images for clustering residential areas and agricultural areas in the suburbs of Beijing. The experimental results show that the new clustering approach has the higher clustering accuracy.
remote-sensingimage fusion is becoming widely used in object recognition because of complementary nature of images from different sensors. In the past few years, many fusion methods have been introduced, where intens...
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ISBN:
(纸本)081944684X
remote-sensingimage fusion is becoming widely used in object recognition because of complementary nature of images from different sensors. In the past few years, many fusion methods have been introduced, where intensity-hue-saturation transform (IHST)-based fusion method, wavelet transform (WT)-based fusion method and high pass filter (HPF)-based fusion method are commonly used. There are complementarities between the three fusion methods, so this paper presents a new fusion method based on WT, IHST and HPF, which overcomes the shortcomings of the three fusion methods and exploits their strong points. Our new method uses ATT-based fusion method to preserve the spectral information of the original multispectral image, and IHST-based fusion method to improve spatial presentation of the fused image, and HPF-based method to merge the low-frequency part of the panchromatic image with that of the I channel data of the multispectral image in WT domain to enhance spatial information and avoid block effect in WT-based fusion method. Experiment results show that our new method is efficient. It not only preserves the spectral information of the original multispectral image very well, but also enhances spatial presentation of the fused image largely.
作者：
Zequn, GWuhan Univ
Inst Remote Sensing & Informat Engn Wuhan 430079 Peoples R China
The central idea of this paper is that image data mining could be performed directly on the 2D image representation, by applying some scan techniques on the 2D image, which are different than the raster scan. In this ...
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ISBN:
(纸本)081944684X
The central idea of this paper is that image data mining could be performed directly on the 2D image representation, by applying some scan techniques on the 2D image, which are different than the raster scan. In this paper, we present the comparison of spatial data sets using bit sequential format on a unique vector form which converts between one quadrant tree and some sub- quadrant trees. Then, we describe how the bit-vector might be used to generate the associations among scan patterns in which when some object attributes are extracted in a data process, the others are extracted, too.
remotesensingimages acquired by the sensors at platforms near land surface, airplane and satellite, usually have large volume and miscellaneous data formats. So it is not feasible for the users to browse remote sens...
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ISBN:
(纸本)081944684X
remotesensingimages acquired by the sensors at platforms near land surface, airplane and satellite, usually have large volume and miscellaneous data formats. So it is not feasible for the users to browse remotesensingimages and evaluate the quality of images and select the suitable images on Internet. Moreover, it is inefficient to read and transfer remotesensingimages real-timely in a standard image viewer due to their miscellaneous data formats. In order to clear up the problems, the metadata and microimage are extracted from various remotesensingimages, managed by the database management system software, and browsed and evaluated on Internet to decide which images are the real wanted. The process of working includes the 4 steps. 1) Create metadata for the remotesensingimages. The metadata consist of image data format, longitude and latitude of image range, date and, time, spatial resolution, sensor attributes (field of view, bands, performance and precision etc), platform attributes (stand near land surface, airplane or satellite), flight path or orbit attributes of aerial and space observation etc. 2) Create microimage for remotesensingimage. Firstly, the remotesensingimages are projected to the same coordinate system by the geometric correction, so all images can be matched correctly. Then the microimages are built through 1: 10 or 1:5 cubic convolution sampling the corrected images. 3). Build a database to store and manage the metadata and microimages, and create pointers to hyperlink the remotesensingimages self. 4) Develop the browse interface, publish the remotesensingimage base on Internet, and receive the users' order forms. The wanted images will be sent on CDROM if the orders are accepted. The interface is visualized. Here, a color spectrum is used to express the bands. A clock is for time and landscape is for days in one year. And place is located by moving your mouse on the map. The pixel sizes are shown through levels on a pyramid.
Change detection is a key topic in land use/land cover related studies and significant efforts have been made in the development of methods for change detection. In this article a multivariate analysis method based on...
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ISBN:
(纸本)081944684X
Change detection is a key topic in land use/land cover related studies and significant efforts have been made in the development of methods for change detection. In this article a multivariate analysis method based on canonical transformation is introduced into change detection using multi-temporal remotesensingimageries. Afterwards an automatic unsupervised discriminating technique based on the Bayes-Rule of Minimum Error is employed for changed areas identification in the difference image. Experimental results of a case study using Landsat TM imageries are presented to demonstrate the effectiveness of our method.
Observation by limited field observational stations is the major conventional method of research on snow and relevant problem, such as flood caused by melting of snow. However, observation on only several ground obser...
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ISBN:
(纸本)0819451819
Observation by limited field observational stations is the major conventional method of research on snow and relevant problem, such as flood caused by melting of snow. However, observation on only several ground observatories cannot provide enough information for large scale region accurately and timely. The advanced technology of remotesensing and geographic information system (GIS) is an effective tool to extract snow information and monitor snow change quickly and dynamically. This paper discusses the method of snow mapping and establishing dynamic snow monitoring information system by using multisensor, multispectral and multitemporal remotesensing data ( NOAA/AVHRR, satellite borne SAR and TM). The study results show that the use of muitisensor remote sensed data and technique of GIS, combined with relative contemporaneous field observational data, enables the snow monitoring more rapid and accurate.
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