Monday 20th of November 2017
 

Object based Information Extraction from High Resolution Satellite Imagery using eCognition


Neha Gupta and H.S Bhadauria

High resolution images offer rich contextual information, including spatial, spectral and contextual information. In order to extract the information from these high resolution images, we need to utilize the spatial and contextual information of an object and its surroundings. If pixel based approaches are applied to extract information from such remotely sensed data, only spectral information is used. Thereby, in Pixel based approaches, information extraction is based exclusively on the gray level thresholding methods. To extract the certain features only from high resolution satellite imagery, this situation becomes worse. To overcome this situation an object-oriented approach is implemented. This paper demonstrated the concept of object-oriented information extraction from high resolution satellite imagery using eCognition software, allows the classification of remotely-sensed data based on different object features, such as spatial, spectral, and contextual information. Thus with the object based approach, information is extracted on the basis of meaningful image objects rather than individual gray values of pixels. The test area has different discrimination, assigned to different classes by this approach: Agriculture, built-ups, forest and water. The Multiresolution segmentation and the nearest neighbor (NN) classification approaches are used and overall accuracy is assessed. The overall accuracy reaches to 97.30% thus making it an efficient and practical approach for information extraction.

Keywords: information; extraction; classification; high resolution, satellite image; eCognition

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ABOUT THE AUTHORS

Neha Gupta
Neha Gupta pursuing M. Tech (CSE) from Govind Ballabh Pant Engineering College, Pauri Gharwal, Uttarakhand, India-246194. She received her B. Tech degree in Computer Science and Engineering from Uttarakhand Technical University, in 2012 with 82%. Qualified Gate with 94 percentile. Presently working in the field of Satellite Image Processing.

H.S Bhadauria
H.S Bhadauria received his B. Tech in Computer Science and Engineering, M. Tech in Electronics Engineering from Aligarh Muslim University, Aligarh and Ph. d from Indian Institute of Technology, Roorkee, India, in 1999, 2004 and 2013, respectively. He has published some 40 research papers in International and National Journals and Conferences. His areas of Interest are Digital Image processing, Digital Signal Processing and AdHoc Network. Presently working as Asst. Professor in Govind Ballabh Pant Engineering College, Pauri Gharwal, Uttarakhand, India-246194


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