Reproduction of Remote Sensing Image Using Supervised Mode of Learning Using Artificial Neural Network

Authors

  • Amanjot Kaur Guru Nanak Dev Engineering College, Ludhiana
  • Dr.Kiran Jyoti Guru Nanak Dev Engineering College, Ludhiana

DOI:

https://doi.org/10.24297/ijct.v13i9.2356

Keywords:

Light Detection and Ranging (LIDAR), Geographic Information System (GIS), Artificial Neural Network (ANN), Mean Square Error (MSE), Matrix Laboratory (MATLAB), Support Vector Machines (SVM).

Abstract

Remote sensing is the science of gathering information from a location that is distant from the source. Image analysis is the technique of extracting and interpreting meaningful information from a remotely sensed image. The information from an image may be extracted with the help of computer software or be visually considered. Images like such can be acquired in the form of aerial photograph, a multispectral satellite image, Light Detection and Ranging data, a radar data or a thermal image. Remote sensing is a dynamic technical field of endeavor. This paper is based on the technique involved in mapping of Geographic Information System projects.

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Author Biographies

Amanjot Kaur, Guru Nanak Dev Engineering College, Ludhiana

M. Tech, Computer Science and Engineering

Dr.Kiran Jyoti, Guru Nanak Dev Engineering College, Ludhiana

Assistant Professor

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Published

2014-09-30

How to Cite

Kaur, A., & Jyoti, D. (2014). Reproduction of Remote Sensing Image Using Supervised Mode of Learning Using Artificial Neural Network. INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 13(9), 4799–4808. https://doi.org/10.24297/ijct.v13i9.2356

Issue

Section

Research Articles