Abstract
Model for selecting the Earth observation satellite systems by object recognition probability
Highlights
Geographical information systems (GIS) for various purposes are rapidly developing in the world
Recent studies show that the probability of the ground objects (GO) recognition in satellite imagery (SI) strongly depends on the radiometric contrast [14]. the radiometric contrast of objects over corresponding background must be considered when selecting the systems for optical observation (SSOO) by SI resolution
For a simple criterion (5) or (6), the SPOT-5 SSOO of 2.5 m spatial resolution is not suitable for this GO recognition, but for updated criterion (11) or (12), the SPOT-5 is quite suitable under condition of sufficient contrast
Summary
Geographical information systems (GIS) for various purposes are rapidly developing in the world. The primary source of GIS data is satellite imagery (SI), which is acquired from operators of satellite systems for optical observation (SSOO) [1, 2]. To order SI, the corresponding online services are intended for SSOO selection based on the onboard imaging systems (OIS) specifications [3]. The main requirement for the OIS is to ensure the possibility of detecting, recognizing and classifying ground objects (GO), which primarily is depended on the provided spatial resolution [5]. In the main known models, the required spatial resolution of SI is stated by a modified Johnson criterion, which was obtained experimentally and oftentimes was checked and updated [6]
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