{'fraction_non_alphanumeric': 0.0330188679245283, 'fraction_numerical': 0.01179245283018868, 'mean_word_length': 5.288888888888889, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A Study on Various Approaches in Remote Sensing

Abstract This paper studies the various approaches used in the remote sensing. The importance of Remote Sensing is that to learn to extract valuable information from it. The traditional approach has been to analyse RS images and then construct information-extraction models, these approaches are able to construct spectral, textural and geometric attributes of images. The various approaches using machine language, deep learning, Zigbee platform and microwave sensing is discussed here. Keywords: RS images, machine learning, deep learning, Zigbee, microwave sensing Cite this Article Aditya Khatokar J, Nayana M A, Kishan Das Menon H, Janardhan V, Ajay Sudhir Bale. A Study on Various Approaches in Remote Sensing. Journal of Telecommunication, Switching Systems and Networks . 2020; 7(2): 32–37p.