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Institute for Aerospace Informatics National Aerospace Agency, Baku, Azerbaijan

THE PRACTICAL PRINCIPLES OF QUALITY EVALUATION OF NEURAL CLASSIFIER’S OBJECT RECOGNITION PRODUCT ON MULTI-SPECTRAL HIGH RESOLUTION SATELLITE IMAGES USING GEOINFORMATION TECHNOLOGIES Y.Gambarova. Institute for Aerospace Informatics National Aerospace Agency, Baku, Azerbaijan YLebedik@azuni.net.

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Institute for Aerospace Informatics National Aerospace Agency, Baku, Azerbaijan

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  1. THE PRACTICAL PRINCIPLES OF QUALITY EVALUATION OF NEURAL CLASSIFIER’S OBJECT RECOGNITION PRODUCT ON MULTI-SPECTRAL HIGH RESOLUTION SATELLITE IMAGES USING GEOINFORMATION TECHNOLOGIESY.Gambarova Institute for Aerospace Informatics National Aerospace Agency, Baku, Azerbaijan YLebedik@azuni.net

  2. The principles of evaluation of neural-classifier’s object recognition results are presented and proved using geo-information data processing tools. The job was done for solving of real task on defining distribution area of rare vegetation community existing in the IKONOS satellite high resolution multi-spectral image. It’s proved that using of geo-information technologies visualization and coincide data analysis capabilities is not only useful tool for classifier’s product quality evaluation but it allows us organize and implement the whole cycle of this product verification and reception procedures as well. The visual analysis of classifier’s products presenting in thematic raster images, is shown in details.

  3. Fragment of IKONOS satellite Orthorectified Imagery

  4. Initially 12 types of rare vegetation communities and soil were defined that - according to ecologists’ opinion – are indicator of antropogeneous impact on environment in the region being studied.

  5. The “Initial classification scheme” - 12 vegetation communities and soil types.

  6. VISUAL ANALYSIS OF THE RESULTS OF THE CLASSIFICATION a) On the “Optimized classification scheme” b) On the “Initial classification scheme” Classification results: non-classified pixels are represented in the black color

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