@article {Parvathi:2010:0143-1161:5855,
title = "Feature extraction from satellite images of hilly terrains using wavelets and watersheds",
journal = "International Journal of Remote Sensing",
parent_itemid = "infobike://tandf/tres",
publishercode ="tandf",
year = "2010",
volume = "31",
number = "22",
publication date ="2010-07-01T00:00:00",
pages = "5855-5866",
itemtype = "ARTICLE",
issn = "0143-1161",
eissn = "1366-5901",
url = "https://www.ingentaconnect.com/content/tandf/tres/2010/00000031/00000022/art00009",
doi = "doi:10.1080/01431161.2010.512309",
author = "Parvathi, K. and Prakasa Rao, B. S. and Venkateswara Rao, T. and Mruthyunjaya Reddy, K.",
abstract = "Most of the research in remote sensing is focused on developing a well-defined and reliable automated process for the extraction of information from different types of imagery. This paper deals with the extraction of linear anthropogenic objects (especially buildings) in hilly areas. The analysis of digital surface models from hilly terrain data is still challenging, especially for highly sloped landscapes. Commonly, the first task to study satellite data is to separate ground and object points as a preparatory step for further object classification. In this paper, object and ground separation in hilly terrain (PAN image of Indian Remote Sensing (IRS)-1C satellite) is addressed by employing wavelets. Then the extraction of desired objects (buildings) is done by employing the marker-controlled watershed segmentation. Experimental results demonstrate the method to be effective.",
}