A Study of Different Image Classification methods by using Machine Learning Techniques

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@article{1712890,
      author = {Shaik Bajidvali, Dr. N. Udaya Kumar, Dr. B. T. Krishna},
      title = {A Study of Different Image Classification methods by using Machine Learning Techniques},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {6},
      number = {6},
      pages = {483-491},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1712890.pdf},
      abstract = {The Role of Artificial Intelligence and Machine Learning Techniques in Image Processing mainly in Image classification and registration becoming very prominent like in Research on Satellite Images , Medical Images like Computer Tomography Images, MR Images, Thermal Images.Image classification is getting more attention in the area of computer vision and artificial intelligence for the past decades. The classification is based on identifying the objects present in the image with adapting feature extraction approaches. The classification with earth observation (EO) data such as synthetic aperture radar (SAR), hyper spectral (HS) and light detection and ranging (LiDAR) are challenging in the field of remote sensing (RS). Satellite images are classified based on recognizing the objects and categorizing the scene based on the features and characteristics. Similar to that, different features are used in medical image data analysis and it has advantages sue to large data generation. The machine learning approaches in image processing is based on the objective of better classifying images. In this paper a Comparison study done on Satellite Images and Medical Images by using optimized Machine Learning Techniques.},
      keywords = {Earth Observation, Hyper spectral Images, Remote sensing, Earth observation, SAR, Hyperspectral imaging, LiDAR, Machine learning.},
      month = {December},
      doi = {https://doi.org/10.64388/IREV6I6-1712890}
  }