Extra Ordinary Gazette Date : 11.12.2019 Last Date : 15.01.2020 Category No. 283/2019 – 304/2019 1. Applications are invited online only through ONE TIME REGISTRATION from qualified candidates for appointment in the under mentioned posts in Kerala Government Service. Department : 2. Name of Post : Kerala Collegiate Education Assistant Professor (in the following various subjects) 1. History - Category No. 283/2019 2. Urdu - Category No. 284/2019 3. Hindi - Category No. 285/2019 4. Tamil - Category No. 286/2019 5. English - Category No. 287/2019 6. Arabic - Category No. 288/2019 7. Malayalam - 8. Kannada - Category No. 289/2019 Category No. 290/2019 9. Travel & Tourism - Category No. 291/2019 10. Islamic History - Category No. 292/2019 11. Chemistry - Category No. 293/2019 12. Geography - Category No. 294/2019 13. Zoology - 14. Mathematics - Category No. 295/2019 Category No. 296/2019 15. Political Science - Category No. 297/2019 16. Commerce - Category No. 298/2019 17. Psychology - Category No. 299/2019 18. Sociology - Category No. 300/2019 19. Music - Category No. 301/2019 20. Philosophy - Category No. 302/2019 21. Physics - Category No. 303/2019 22. Home Science (Food & Nutrition)-Category No.304/2019 3. 4. Scale of pay Number of vacancy : : UGC Scale History – 1 (One) Subjects other than History – Anticipated vacancies The above vacancy is now in existence. The Ranked list published by the Commission in response to this notification shall remain in force for a minimum period of one year provided that the said list will continue to be in force till the publication of a new list after the expiry of the minimum period of one year or till the expiry of three years whichever is earlier. Candidates will be advised from the said list against the vacancies reported to the Commission in writing during the period of currency of the list Note : 3% of the vacancies for the post shall be reserved for Differently Abled candidates with Locomotor Disability / Cerebral Palsy, Low Vision, Blindness and Hearing impairment as per G.O (P) No.61/12/SWD Dated 17/10/2012.
Image Classification in Remote Sensing Image classification in remote sensing involves categorizing pixels in an image into thematic classes to produce a map. This process is essential for land use and land cover mapping, environmental studies, and resource management. The two primary methods for classification are Supervised and Unsupervised Classification . Here's a breakdown of these methods and the key stages of image classification. 1. Types of Classification Supervised Classification In supervised classification, the analyst manually defines classes of interest (known as information classes ), such as "water," "urban," or "vegetation," and identifies training areas —sections of the image that are representative of these classes. Using these training areas, the algorithm learns the spectral characteristics of each class and applies them to classify the entire image. When to Use Supervised Classification: - You have prior knowledge about the c...

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