![]() And the conclusions are drawn in Section 5. Section 3 describes multi-sensors Images there are sub sections like processing levels of image fusion categorization of image fusion techniques with our attitude towards categorization Section 4 describes the discussion on the problems of available techniques. Section 2 describes the Background upon Remote Sensing under this section there are some other things like remote sensing images remote sensing Resolution Consideration such as Spatial Resolution, spectral Resolution, Radiometric Resolution, temporal Resolution data volume and Satellite data with the resolution dilemma. The paper is organized into six sections. ![]() The objectives of this paper are to present an overview of the major limitations in remote sensor satellite image and cover the multi-sensor image fusion. Only few researchers introduced that problems or limitations of image fusion which we can see in other section. Many survey papers have been published recently, providing overviews of the history, developments, and the current state of the art of remote sensing data processing in the image-based application fields, but the major limitations in remote sensing fields has not been discussed in detail as well as image fusion methods. However, sensor limitations are most often a serious drawback since no single sensor offers at same time the optimal spectral, spatial and temporal resolution. Remote sensing on board satellites techniques have proven to be powerful tools for the monitoring of the Earth‟s surface and atmosphere on a global, regional, and even local scale, by providing important coverage, mapping and classification of land cover features such as vegetation, soil, water and forests. The trade-off in spectral and spatial resolution will remain and new advanced data fusion approaches are needed to make optimal use of remote sensors for extract the most useful information. The conclusion of this, According to literature, the remote sensing is still the lack of software tools for effective information extraction from remote sensing data. ![]() Also, reviews on the problems of image fusion techniques. This paper briefly reviews the limitations of satellite remote sensing. However, technologies for effective use of the data and for extracting useful information from the data of Remote sensing are still very limited since no single sensor combines the optimal spectral, spatial and temporal resolution. Remote sensing has proven to be a powerful tool for the monitoring of the Earth‟s surface to improve our perception of our surroundings has led to unprecedented developments in sensor and information technologies. ![]()
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