共查询到20条相似文献，搜索用时 93 毫秒
1.
遥感信息融合（Fusion）是目前遥感应用领域的一个热点问题。高分辨率的全色影像与多光谱彩色低分辨率的遥感数据叠加，可以最大限度地利用不同分辨率、不同光谱信息和不同时相分辨率的遥感信息。融合中对同一地区长江流域秭归段的TM4、3、2多光谱和TM8高分辨率的遥感影像采用了IHS变换、分辨率（主成分分析）融合方法进行了数据融合，并对不同的融合方法所得到的融合影像进行目视和统计特征的分析与评价。 相似文献
2.
基于Gram Schmidt变换的高光谱遥感图像改进融合方法 总被引：3，自引：0，他引：3
遥感图像融合的目的是综合来自不同空间分辨率和光谱分辨率的遥感信息,生成一幅具有新空间和波谱特征的合成图像。针对高光谱图像的特点,对基于Gram Schmidt变换的图像融合方法进行改进,首先采用光谱重采样方法模拟产生Gram Schmidt变换的第一分量,通过Gram Schmidt变换将高光谱图像转换到正交空间,再利用高空间分辨率图像替换Gram Schmidt变换的第一分量,最后通过Gram Schmidt反变换获得融合图像。利用EO1-Hyperion航天高光谱数据与ALI全色波段进行融合试验,发现改进方法可有效提高高光谱遥感图像与全色高分辨率图像的融合质量。 相似文献
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4.
Evaluation of Landsat-7 ETM+ Panchromatic Band for Image Fusion with Multispectral Bands 总被引：9，自引：0，他引：9
The Landsat-7 ETM+ panchromatic band is taken simultaneously with multispectral bands using the same sensor system. The two data sets, therefore, are coregistered accurately and the solar illumination and other environmental conditions are identical. This makes ETM+ Pan advantageous to SPOT Pan for resolution fusion. A spectral preserve image fusion technique, Smoothing Filter-Based Intensity Modulation (SFIM), can produce optimal fusion data without altering the spectral properties of the original image if the coregistration error is minimal. With TM/SPOT Pan fusion, the technique is superior to HSI and Brovey transform fusion techniques in spectral fidelity, but has slightly degraded edge sharpness as a result of TM/SPOT Pan coregistration error because SFIM is sensitive to coregistration accuracy and temporal changes of edges. The problem is self-resolved for ETM+ because there is virtually no coregistration error between the panchromatic band and the multispectral bands. Quality fusion imagery data thus can be produced. 相似文献
5.
This study evaluates the potential of 8-band high resolution WorldView-2 (WV-2) panchromatic (PAN) and multispectral image (MSI) data for the extraction of polar geospatial information. We introduce a novel method based on a customized set of normalized difference Spectral Index Ratios (SIRs), incorporating multiple bands, to improve the accuracy of land-cover mapping in the Antarctic. Most recently available WV-2 data are classified into land-cover surfaces such as snow/ice, water bodies, and landmass using the customized normalized difference SIRs. A novel multi-fold methodology is used to evaluate the effect of pan-sharpening algorithms on spectral characteristics of satellite data, and on subsequent land-cover mapping using an array of SIRs. A set of existing pan-sharpening algorithms was implemented in order to fuse PAN with MSI data, followed by estimation of multiple SIRs to extract target land-cover classes. These algorithms were compared on the basis of their effectiveness in extracting target classes using a defined set of SIRs. Our results indicate that the use of 8-band WV-2, customized SIRs, and appropriate pan-sharpening can greatly improve the extraction of land-cover information. 相似文献
6.
Volkan Yilmaz Oguz Gungor 《Norsk geografisk tidsskrift. Norwegian journal of geography》2016,70(2):69-81
Image fusion is the production of high-resolution images by combining the spatial details of a high-resolution image with the spectral features of a low-resolution one. Reports of various quality metrics to evaluate the spectral and spatial qualities of fused images have been published. However, metrics may lead to misinterpretation due to inherent limitations in their mathematical algorithms. Hence, the use of additional assessment techniques in quality evaluation is reasonable. The purpose of the study was to compare the performances of several advanced fusion algorithms in order to help users in their choice of an appropriate fusion algorithm. Four different datasets were fused using advanced fusion algorithms, namely UNB PanSharp, Hyperspherical Color Space, High-Pass Filtering, Ehlers, Subtractive, Wavelet Single Band, Gram-Schmidt, Flexible Pixel-Based, and Criteria-Based. The spectral and spatial qualities of the fused images were evaluated using various quantitative procedures to ensure comprehensive and reliable comparison. The results showed that the Flexible Pixel-Based and High-Pass Filtering algorithms were very successful with regard to spatial quality, whereas the Flexible Pixel-Based and Criteria-Based algorithms were very successful with regard to spectral quality. The authors conclude that the Flexible Pixel-Based algorithm can be used for applications that require high spectral and spatial quality. 相似文献
7.
鉴于IHS变换的融合影像存在光谱扭曲问题,而灰色关联度对图像边缘检测具有局限性,该文将基于灰色绝对关联度的灰色关联分析与IHS变换相结合进行影像融合。采用灰色绝对关联度检测高分辨率影像的边缘点和非边缘点,基于边缘信息确定高分辨率影像和IHS变换后的亮度分量在组合中的权值,最后通过IHS反变换实现影像加权融合。应用该算法分别对多源遥感影像进行融合处理,在提高空间分辨率的同时能够很好地保持多光谱影像的光谱信息,优于传统的IHS融合方法和基于灰色关联度的IHS融合算法。 相似文献
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针对中分辨率多光谱与高分辨率全色图像空间分辨率差异大,导致融合结果难以较好平衡光谱信息保持和空间信息保持能力的问题,该文分析了7种常用融合方法用于中分辨率多光谱与高分辨率全色图像融合的优缺点及其融合质量的影响因素,提出了一种组合融合方法。该方法在保留Gram-Schmidt方法的细节注入方式的基础上,综合利用高通滤波法和Gram-Schmidt方法的优势构造低分辨率全色图像,确保在提高融合图像空间分辨率的同时有效降低其光谱变形。通过CBERS-02多光谱和IRS-P5全色图像的实验,证明了新融合方法的有效性。 相似文献
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随着我国地膜使用面积的增加和人们对土壤微塑料污染问题的日益关注,大尺度的地膜遥感识别已成为农业生产管理、土壤污染防治的必要手段。针对地膜光谱反射特征的复杂性以及基于单一遥感影像光谱特征识别方法错分率高等问题,该文以河北省邯郸市邱县为试验区,利用GF-1数据的空间细节与Sentinel-2数据的光谱信息进行NN Diffuse Pan Sharpening融合,据此建立地膜识别的特征矩阵(NDVI、MNDWI、NDBI、IBI、PSI),基于该特征矩阵可实现自动阈值地膜分层分类识别。多种方法的地膜识别结果精度对比表明:多源光学遥感数据融合方法的总体精度为94.87%,Kappa系数达0.89,显著优于基于单一数据源的深度学习法的精度(93.14%)以及基于传统机器学习分类方法的支持向量机(85.91%)和随机森林分类法(86.78%)的精度;通过与Sentinel-2多光谱影像融合,弥补了GF-1数据光谱分辨率低的缺陷,实现了多源数据在地膜识别中的优势互补,可为相关部门农业规划与管理以及生态环境保护等研究提供大尺度、高精度的地膜分布参考数据。 相似文献
10.
小波基及其参数对遥感影像融合图像质量的影响 总被引：3，自引：1，他引：2
IHS和小波变换结合的融合方法已成为多源遥感影像信息聚合的有效途径,但小波基与小波分解层数等参数对影像融合质量影响的很多细节需进一步研究。该文以SPOT遥感影像为数据,在Matlab软件环境下进行小波簇、不同序号小波基及分解层数的图像融合,用信息熵、平均梯度和标准偏差3指标对融合图像的质量进行评价。结论如下:第1层小波分解的融合图像质量差异不大;其余小波分解层数下融合影像的质量因小波基而异,如coif5s、ym5、dmey对小波分解层数不敏感,db1、bior3.1则具有分段响应的敏感特征,其中,rbio3.1在小波分解层数为4时,融合图像失真;不同簇的小波基对融合图像质量的影响也各异。结果表明,小波基等参数的选取直接影响到遥感影像融合的效果。 相似文献
11.
Merged remotely sensed data for geomorphological investigations in deserts: examples from central Saudi Arabia 总被引：1，自引：0，他引：1
Image merging has gained acceptance in geological remote sensing, however it has rarely been applied in geomorphology. We report on the usefulness of principal components substitution (PCS) to merge IRS panchromatic data with multispectral Thematic Mapper (TM) imagery, to map commonly encountered desert geomorphological features, and in relative age dating of alluvial surfaces. The merged data were applied to the identification and mapping of geomorphological features along two geolo-gically different mountain fronts in central Saudi Arabia. Two types of geomorphological maps have been created. A morphogenetic map that distinguishes between aeolian landforms, fluvial landforms, desert pavements, and gypsum crusts. Second, a morphochronological map, which shows the relative age of four geomorphic surfaces developed on an alluvial fan. The construction of the two maps is supported by field observations and laboratory measurements. Using the optimum index factor (OIF), a TM band 1, 5 and 7 image (of 20 merged composites) was found to be the optimum colour composite image for the geomorphological features in this arid environment. We discuss our findings in the context of the spatial and spectral properties required for applied geomorphological remote sensing. 相似文献
12.
JINFEI WANG PAUL M. TREITZ PHILIP J. HOWARTH 《International journal of geographical information science》2013,27(2):141-157
Abstract Visual interpretation of high-resolution satellite data has been useful for mapping linear features, such as roads and updating land-use changes. However, it would be beneficial to map new road networks digitally from satellite data to update digital databases using semi-automated techniques. In this paper, an algorithm called Gradient Direction Profile Analysis (GDPA) is used to extract road networks digitally from SPOT High Resolution Visible (HRV) panchromatic data. The roads generated are compared with a visual interpretation of the SPOT HRV multispectral and panchromatic data. The technique is most effective in areas where road development is relatively recent. This is due to the spectral consistency of new road networks. As new road networks are those of most interest to the land manager, this is a useful technique for updating digital road network files within a geographical information system of urban areas. 相似文献
13.
针对IHS融合法的融合影像相对于原多光谱影像光谱扭曲严重、小波变换融合法运算量大的缺点,依据影像成像时传感器像素间的对应关系,提出应用遥感影像空间分辨率比值关系对影像进行分块,采用离散余弦变换与IHS变换相结合的融合方法进行多光谱影像与全色影像融合,以提高遥感影像的应用能力。仿真实验表明,该方法融合结果的光谱保持性与小波变换方法相近,均优于IHS变换融合影像,对全色影像空间信息集成能力稍弱,但计算效率明显改善,适合于对大数据量的遥感影像融合。 相似文献
14.
Remote sensing is a geographic analysis tool capable of producing large quantities of data in the spectral, temporal and spatial domains. Techniques for automating the image analysis process would be advanced by the inclusion of artificial intelligence techniques in the design of image processing systems. The remote sensing application which show promise for successful implementation of artificial intelligence techniques are intelligent onboard processing, advanced database interrogation, and the automated analysis of multispectral imagery. 相似文献
15.
HPF图像融合技术在大理市遥感影像中的运用探讨 总被引：1，自引：0，他引：1
使用ERDAS IMAGINE 8.7软件的空间建模工具,实现了HPF图像融合算法。将其应用到大理市ETM＋遥感影像的分辨率融合中,取得了较好的效果。最后与其他几种常见的图像融合算法所得效果图进行对比分析,得到HPF图像融合的特点。 相似文献
16.
We examine the selection criteria for satellite images and methods of processing them in the process of mapping underwater landscapes using remotely sensed data, discuss the interpretation principles and algorithms as well as some issues related to the support of observations with field material. It is shown that a detailed landscape mapping of shallow marine waters by methods of visual and automated interpretation requires multispectral superhigh spatial resolution images. Results of investigations made on underwater profiles by using lightweight diving outfits were employed to describe seven types of underwater landscapes, and echo sounder measurements were used in constructing the digital elevation model for the bottom of Srednyaya Bay. It is established that the regions for which it was possible to carry out a reliable interpretation of data from the IKONOS-2 spacecraft are in the range of depths between 0 and 10 m and make up about three-fourths of the area of the bay bottom. Ten facies were identified and put on the map, for each of which we determined the area, the range of depths and the mean depth of propagation. Remotely sensed data were used to assess the contribution (in the spatial structure of the geosystem) of algal vegetation on the littoral; the eelgrass fields were ranked according to the degree of projective cover. As a result of a clustering according to the similarity of spectral attributes, we identified ten groups of pixels of the image analyzed. An analysis is made of the agreement between the distribution of facies identified by expert interpretation and results of an automated classification of pixels, and the contours of landscape units were updated. The conclusion is drawn regarding integration of the computer-aided and visual approaches to interpretation of remotely sensed data for shallow marine waters leading to a “hybrid” express method of mapping landscapes of shallow marine waters. 相似文献
17.
面向对象的高分辨率影像城市建筑物提取 总被引：9，自引：1，他引：8
依据高分辨率遥感影像的特点,采用面向对象方法提出"自下而上"的多尺度分割方法,即按照由小尺度分割至大尺度分割的顺序,并结合掩膜操作对山东师范大学IKONOS影像进行了建筑物提取试验。结果表明,该方法较传统的"自上而下"的尺度分割方法精度有显著改善,其分类结果形状较为规整,更接近实际地物。 相似文献
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多传感器不同分辨率遥感数字图像的尺度转换 总被引：14，自引：0，他引：14
针对日益增多的多传感器不同分辨率的遥感数字图像数据,提出其综合利用和尺度转换的有效方法。其中,作为尺度上推 (scaling-up) 技术,本研究选择IHS和小波分解变换两种数据融合方法,应用Landsat ETM+数据和IRS-1C数据进行了实例研究。发现: IHS方法操作简单,对两种待融合的图像的像元大小和像元数 (bit数) 的依赖不是很高,而对原始图像光谱信息的依赖很高,因此适用于不同传感器之间的数据融合上,其缺点就是不能够更多的保留原始多光谱数据的光谱信息。小波分解变换 (WD) 方法可以很好地保留多光谱传感器的所有光谱信息,但是在重采样中对两种待融合的图像的像元配准的要求很高,因此比较适合于对同一传感器的多光谱数据与全色光谱数据的融合上。作为尺度下退 (scaling-down) 技术,通过探讨将札幌野外实验站点数据镶嵌到高时间分辨率遥感图像的问题,提出像元级尺度扩展的具体操作方法和对NDVI图像进行扩展时出现混合像元的识别方法。应用AVHRR, MODIS, ETM+和ASTER的NDVI图像数据进行了像元尺度的扩展研究。得出: 对不同传感器的不同分辨率的数据之间进行像元级的尺度扩展后,能够较好地识别出不同地物的分布边界,较好的分辨混合像元,因此其结果可用于对不同地物分布特征的分类研究或土地覆盖变化中的时间序列变化的研究中。 相似文献
19.
针对合成孔径雷达(Synthetic Aperture Radar,SAR)和多光谱(Multi-Spectral,MS)融合图像中存在的空间细节模糊和颜色失真问题,该文兼顾光谱监督和空间细节监督,设计光谱损失函数和空间细节损失函数,提出一种基于双分支卷积神经网络(Convolution Neural Network,CNN)的SAR和MS图像融合算法。该算法网络框架包含光谱保持和细节提升两个分支:光谱保持分支通过上采样MS图像连接到网络的输出,直接将光谱信息传递到融合图像中;细节提升分支对SAR和MS图像通过高通滤波提取高频细节信息,然后应用CNN对细节信息进行特征提取、特征融合及重建,最后将重建的细节信息叠加到上采样的MS图像,得到融合结果。以哨兵-1B GRD级别的SAR图像和Landsat8卫星多光谱图像为实验数据,通过与传统融合算法和深度学习算法RSIFNN进行对比,结果表明,该文算法在定性和定量评价方面效果更好,能够在保持光谱信息的基础上增强多光谱图像的空间细节信息,有利于后续地物分类和目标识别等工作的开展。 相似文献
20.
Freshwater environments in New Zealand provide a range of ecosystem services and contain important biodiversity. Managing these environments effectively requires a comprehensive inventory of the resource and cost-effective tools for regular monitoring. The complex and extensive margins of natural water bodies make them difficult to sample comprehensively. Problems thus occur with extrapolating point-specific sampling to accurately represent the diversity of vegetation in large freshwater bodies. Mapping freshwater vegetation using satellite remote sensing can overcome problems associated with access, scale and distribution, but it requires high-resolution images that have appropriate spectral characteristics. This paper provides an overview of the optical satellite data characteristics required for mapping riparian, submerged and emergent vegetation associated with freshwater environments in New Zealand. 相似文献