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on ERS-2 and RADAR-SAT) carries onboard its own electromagnetic radiation source. Radiation from the sun interacts with the surface (for example by reflection) and the detectors aboard the remote sensing platform measure the amount of energy that is reflected.
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Landsat TM, SPOT-3 HRV) uses the sun as the source of electromagnetic radiation. There are two basic types of remote sensing system according to the source of energy: passive and active systems. A Sun synchronous orbit is a near polar orbit whose altitude is the one that the satellite will always pass over a location at given latitude at the same local time, such that (IRS, Landsat, SPOT…etc.). The earth observation satellites usually follow the sun synchronous orbits. These orbits enable a satellite to always view the same area on the earth such as meteorological satellites. In geostationary, the satellite will appear stationary with respect to the earth surface. There are several remote sensing satellites often launched into special orbits, geostationary orbits or sun synchronous orbits. In spaceborne remote sensing, sensors are mounted on-board a spacecraft orbiting the earth. Remote sensing on board satellites techniques, as a science, deals with the acquisition, processing, analysis, interpretation, and utilization of data obtained from aerial and space platforms (i.e. Although this definition may appear quite abstract, most people have practiced a form of remote sensing in their lives. These techniques cover the whole electromagnetic spectrum from low-frequency radio waves through the microwave, sub-millimeter, far infrared, near infrared, visible, ultraviolet, x-ray, and gamma-ray regions of the spectrum. Text of manuscript should be arranged in the following The term “remote sensing” is most commonly used in connection with electromagnetic techniques of information acquisition. 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.
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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.
#PROBLEMS WITH LIBARY SUITCASE FUSION 7 SOFTWARE#
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.