Seeing the expected technical improvements as to the spatial and spectral resolution, satellite imagery could more and more provide a basis for complex information systems for recognizing and monitoring even small-scale and short-term structural features of interests within nuclear facilities, for instance construction of buildings, plant expansion, changes of the operational status, undergroun...

In the present paper, a test of the spectral variation hypothesis (SVH) was performed using multispectral high resolution satellite data. The SVH was tested by comparing the relationship between the spectral heterogeneity and species richness in plots of different size (100– 10000 m) in a complex wetland ecosystem, the “Montepulciano Lake”, Central Italy. The nature reserve of the Montepulciano...

Multispectral satellite images have been utilized in the National Agricultural Statistics Service (NASS) for crop cover classification and crop acreage estimation since the 1970's. Though ancillary data is utilized to enhance the classification accuracy, there are few applications that maximize the utilization of the feature information of the given multispectral images. Every multispectral ima...

In this paper we propose a novel algorithm for the pansharpening of multispectral images based on the use of a Total Variation (TV) image prior. Within the Bayesian formulation, the proposed methodology incorporates prior knowledge on the expected characteristics of multispectral images, and uses the sensor characteristics to model the observation process of both panchromatic and multispectral ...

Multispectral image analysis is a relatively promising field of research with applications in several areas, such as medical imaging and satellite monitoring. A considerable number of current methods of analysis are based on parametric statistics. Alternatively, some methods in computational intelligence are inspired by biology and other sciences. Here we claim that philosophy can be also consi...

Image fusion of multispectral and panchromatic satellite image is used to combine spatial detail of the panchromatic image of high spatial resolution and spectral information of multispectral image of low resolution, in order to create a synthetic multispectral high-resolution image. This process is called pansharpening and the resulting image, has among others, improved visual quality and visu...

Limits of stereo processing in photogrammetry using image matching techniques are often due to very low capabilities of those procedures regarding aspects of interpretation. For example, if matching aims at recovering terrain surface it would be very helpful to know whether the processed area belongs to an urban area, agricultural land, forest region or other thematic object classes. This is on...

Since the successful launch of DigitalGlobe’s QuickBird satellite and the availability of the data, QuickBird Imagery has quickly become the best choice for large scale mapping using high-resolution satellite images. First, the satellite has panchromatic and multispectral sensors with resolutions of 61-72cm (2-2.4ft) and 2.44-2.88m (8-9.4ft) respectively, depending upon the off-nadir viewing an...

--------------------------------------------------------ABSTRACT-------------------------------------------------The project presents recognize of an aircraft in satellite image using template matching for accurate detection and tracking. High resolution multispectral satellite images with multi-angular look capability have tremendous potential applications. Here the system involves an object t...