REMOTE SENSING IMAGE ANALYSIS AND CLASSIFICATION LAB

Introduction

The Remote Sensing Image Analysis and Classification Laboratory at Electronics and Communication Engineering Department of Bharati Vidyapeeth’s College of engineering, New Delhi campus provides students with hands-on experience in processing and interpreting satellite and aerial imagery using MATLAB. This laboratory focuses on essential techniques for image enhancement, feature extraction, and classification, enabling students to analyze geospatial data for environmental monitoring, land use mapping, and resource management.

Course Objectives

COB-1 To impart the basic knowledge about remote sensing

 

COB-2 To impart knowledge about satellites and sensors

 

COB-3 To impart knowledge about image analysis and image classification

 

COB-4 To impart knowledge about image segmentation and shape analysis

 

 

Course Outcomes

CO Statement Bloom’s Level
IPVC-457.1 Understand the basic knowledge of remote sensing concepts Understand
IPCV-457.2 Remember and understand the basic concepts about satellites      and sensors Remember
IPCV-457.3 Apply the techniques for image analysis and image classification  Apply

Analyze

IPCV-457.4 Apply and analyze the image segmentation techniques and shape descriptors  Apply

Analyze

 

 

CO-PO-PSO Mapping

CO/PO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2
IPCV-457.1 3 3 3 3 3 2 2 1 1 2 2
IPCV-457.2 3 3 3 3 3 2 2 1 1 2 2
IPCV-457.3 3 3 3 3 3 2 2 1 1 2 2
IPCV457.4 3 3 3 3 3 2 2 1 1 2 2

 

Facilities

Operating System /Software
Sr. No. Name Version
1. Windows 10
2. MATLAB 2022B

 

 

Hardware
Sr.No. Equipment Name Specification Quantity
1. Computer Intel Core i5-3330S, 2.7 GHz, 4th Generation, 16GB RAM 20
2. Printer

 

HP Laser Jet Pro P1108 Plus 01
3. Smart Digital Board Senses Edge 01

 

Staff

  • Lab Incharge: Dr. Rubeena Vohra
  • Lab Assistant: Mr. Aniket

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