A Research on Identify Building Objects from Satellite Images
Manikantan M1, Paarivallal Ra2, Vakula V3
1Dr. Manikantan M, HoD, Department of MCA, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.
2Dr. Paarivallal Ra, Assistant Professor, Department of CSE, Bannari Amman Institute of Technology, (Tamil Nadu), India.
3Ms. Vakula V, Assistant Professor, Project  BIT, Sathyamangalam (Tamil Nadu), India.
Manuscript received on 28 September 2019 | Revised Manuscript received on 10 November 2019 | Manuscript Published on 22 November 2019 | PP: 1091-1094 | Volume-8 Issue-6S3 September 2019 | Retrieval Number: F11800986S319/19©BEIESP | DOI: 10.35940/ijeat.F1180.0986S319
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Paper presents an innovative Building Object Detection method from the satellite image, which is using the method – Normalized Difference Vegetation Index (NDVI). Remote Sensing and Geographical Information System methods are used frequently in the field of planning and determination of land changes. Recently, Google earth images are used in most of the applications like urban and travel planning etc. The NDVI method is the key aspect to detect the building object automatically. The idea of the proposed method is to detect and identify the building object and periodic changes in the area were detected automatically.
Keywords: Normalized Difference Vegetation Index, Google Earth Images, and Building Objects.
Scope of the Article: Image Security