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In recent decades, many spectral vegetation indices (SVIs) have been proposed to estimate the leaf nitrogen concentration (LNC) of crops. However, most of these indices were based on the field hypersp...
The shadows in optical remote sensing images are regarded as image nuisances in numerous applications. The classification and interpretation of shadow area in a remote sensing image are a challenge, b...
Space Technology provides a resourceful-cost effective means to assess soil nutrients essential for soil management plan. Soil organic matter (SOM) is one of valuable controlling productivity of crops...
Unmanned airborne systems (UAS) based remote sensing offers flexible tool for environmental monitoring. Novel lightweight Fabry-Perot interferometer (FPI) based, frame format, hyperspectral imaging in...
In the Institute of Space Sensor Technology and in the Institute of Optoelectronic of the DLR a multisensor concept is being developed. For this the 3-line CCD-stereo scanner WAAC, an infrar...
Along with the rapid development of remote sensing technology, remote sensing images have been used in more and more fields. How to retrieval the images rapidly and effectively from the giganticdataba...
Soil expansiveness is a major problem that need due attention in geotechnical investigations. It can detrimentally influence performance and life time of lightweight engineering infrastructures. For t...
Independent component analysis (ICA) is a recently developed linear data analysis method. By using ICA method, the correlation and redundancy of multispectral images can be eliminated. In detail, our ...
AN IMPROVED IHS IMAGE FUSION METHOD WITH HIGH SPECTRAL FIDELITY     remote sensing  image fusion  histogram match  IHS       font style='font-size:12px;'> 2015/12/31
Image fusion is a critical issue for remote sensing, and many algorithms have been developed. Image quality assessment of fused image might provide comparison between fusion methods, but the conclusio...
The paper focuses on image fusion between multi-spectral images and panchromatic images using a wavelet analysis method with good signal processing and image processing traits. A new weighting techniq...
Data fusion methods are often employed to balance contradiction between spectral information and spatial information of remotely sensed images. The fused images formed by an effective data fusion meth...
The focus of this paper is on the segmentation algorithm for the high resolution multispectral imagery to get regions which are roughly corresponding to land cover types. We propose the combination of...
While many remote sensing and GIS applications require both the spatial resolution and spectral resolution be high, image fusion, or in other words, image sharpening, is a useful technique. To date, n...
The information in a pixel of satellite data within the instantaneous Field of View (IFOV) of the sensor is a mixture of different land cover types, and the individual land cover components can be est...
Although spectral mixture analysis has been widely used for mapping the abundances of physical components of urban surface with moderate spatial resolution satellite imagery recently, the spectral het...

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