Abstract
Various atmospheric conditions such as clouds and smog directly affect the quality of remote sensing images. Heavy presence of such atmospheric conditions is sometimes able to completely block most of the radiation from infrared to visible spectral region. However, a light presence of these conditions makes a hazy effect on such images. In the present study, we propose an effective method to remove hazy effect from a single satellite image. The proposed method is based on the robust estimate of air-light and assumption of modified dark channel (MDC) prior, which helps us to produce an efficient transmission map (TM), and hence ensures better enhancement; we show the efficiency of the proposed method by compare it with the existing state-of-art methods. The experimental results establish that the proposed method produces visually appealing resultant dehazed images and retains fine details of the given single-input hazy and low-contrast satellite image.
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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Gupta, B., Mehta, S.A. (2023). Dehazing from a Single Remote Sensing Image. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Infrastructure and Computing. Lecture Notes in Networks and Systems, vol 520. Springer, Singapore. https://doi.org/10.1007/978-981-19-5331-6_42
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DOI: https://doi.org/10.1007/978-981-19-5331-6_42
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Online ISBN: 978-981-19-5331-6
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