@inproceedings{9ce61dabe4f445528152714625eb703c,
title = "An MRF based approach for simultanous land cover mapping and cast shadow removal",
abstract = "Occurrence of shadowy pixels in remote sensing images is a common phenomenon particularly with passive sensors. In these cases, analysts may treat these pixels as a separate land cover class. This may result in the loss of information present in the shadowy pixels A better approach may be to correct light intensity values in shadowy pixels and use the light-corrected image to produce a land cover map. Most light intensity correction algorithms are not designed to optimize the classification performance. Consequently, the accuracy of a resulting land cover map may be degraded. As a result, this paper proposes a new approach to simultaneously determine the land cover map and determine the light intensity value of shadowy pixels based on a Markov random field model. With this approach, the light intensity correction is performed such that the classification accuracy is maximized. The outputs of the proposed algorithm are a land cover map and shadow-free remote sensing image.",
keywords = "Land cover mapping, Markov random field, Remote sensing, Shadow-removal, Simulated annealing",
author = "Teerasit Kasetkasem and Apisit Eiumnoh and Arora, {Manoj K.} and Varshney, {Pramod K.}",
year = "2006",
doi = "10.1109/IGARSS.2006.552",
language = "English (US)",
isbn = "0780395107",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
pages = "2133--2136",
booktitle = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS",
note = "2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS ; Conference date: 31-07-2006 Through 04-08-2006",
}