MONICA MAGDY, OMAR SALEH, MONICA HANY, MADONNA SAID
SUPERVISED BY : DR. AYMAN NABIL
ASSISTANT SUPERVISED BY: ENG. YOUMNA IBRAHIM, ENG. MAHA SAYED
THE HIGH DEMAND OF OIL CAUSED A HUGE LOSS IN FORM OF OIL SPILLS DURING THE PROCESS OF EXPORTING THE PRODUCT, WHICH LEAD TO AN INCREASE IN THE POLLUTION SPECIALLY THE MARINE ENVIRONMENT. OUR PROJECT MAINTAIN THIS PROBLEM USING MODERN TECHNOLOGY BY DETECTING OIL SPILLS USING SATELLITE IMAGERY. THIS DETECTION IS ACHIEVED WITH THE ASSISTANCE OF VARIOUS MACHINE LEARNING TECHNOLOGIES AND IMAGE PROCESSING METHODS USING SATELLITE HYPERSPECTRAL IMAGES. THE GEOLOGIST TEAM HAD DEFINED HYPERSPECTRAL IMAGES AS THE PRINCIPLE FEATURE WHICH FOCUS ON DETECTING THE OIL SPILLS DURING ALL THE PROCESS DURING THE EXPORTING PROCESS. THE SYSTEM USES THIS SPECTRUM AND SPECIAL FEATURE THAT WILL BE EXTRACTED FROM IMAGES USING SOME FILTERS AND CLASSIFIERS. WE PERFORM PREPROCESSING ON THE IMAGE, GOING THROUGH THE PROCESS THEN USING VARIOUS CLASSIFIERS TO ACCOMPLISH THE BEST ACCURACY. THE STUDY AREA WAS DECIDED BASED ON THE HUGE AMOUNT OF OIL DETECTED IN SUCH AS GULF OF MEXICO WHICH IS OBTAINED USING AVIRIS DATASET.
The purpose of this Software Description Document is to provide a brief overview of the various functions of our system and the reasons for our development, mentioning the scope and the references used. This document explains how the output of the system is built and meets the technical requirements. The main purpose of our system is to detect the oil spills using remote sensing data using hyperspectral images in order to detect the oil spills. The target audience of the system is the petroleum firms especially the exploration department (geologist team). The system will be working by locating certain locations in the hyperspectral images to be labeled into three main classes according to reflectance spectra of oil emulation then reclassifying raster to extract the three priority colored image to get thickness of oil spill.
Our system targets petroleum firms that have exploration departments. The main scope of the system is providing predictions of oil spills possible locations. The system requires the user to provide a hyperspectral multiple band image (in our case from Aviris – Nasa Satellite) to go through several processes such as converting into binary format, pre-processing, modifying the band ration and performing classification algorithms. The document will reflect how the system technicalities will meet the requirements what data will be used, system architecture, and what and how the process will take action.
The proposed system aims to provide oil spills thickness. Through this document we will identify the 7 main sections. The first section contains the introduction including the purpose, scope, and over-view and target audience. The second section will mention the system objective, system overview presenting the system workflow and timeline. The third section presents the system architecture and the several different diagrams such as sequence, class. The fourth section will describe in details the database design and how the system handles the data. The fifth section will present how the user will deal with system mentioning screen images and User Interfaces. The sixth section will illustrate the requirements matrix. The seventh section will be presenting the appendices and the references.
1.4 Intended audience
The system main audience is the petroleum enterprises which own exploration departments.