Introduction Analysis and applications of remote sensing imagery Instructor: Dr. Cheng-Chien LiuCheng-Chien Liu Department of Earth Sciences National Cheng Kung University Last updated: 15 July 2015 Chapter 0

Syllabus  Course name: Analysis and applications of remote sensing imagery  Credit: 3  Prerequisite: Graduate students Undergraduate students of the third or four year Introduction to remote sensing Digital image processing  Time: Wednesday 13:10 – 14:00 Thursday 10:10 – 12:00  Place: Remote sensing laboratory  Teaching Assistant:

Objectives  Introduce students The fundamental concepts of Analysis and applications of remote sensing imagery The training in a commercial software (ENVI) of digital image processing  Students will learn The techniques of enhancement and quantification of digital imagery acquired by remote sensing  Students are expected Design and implement a practical project using techniques/knowledge learned from this course

Textbook  Remote sensing and image interpretation, 5th edition, T.M. Lillesand, R.W. Kiefer and J.W. Chipman. John Wiley & Sons, 2004 偉明代理（成大圖書部可代訂）  ENVI Tutorials, 2003 edition, Research System Inc, 2003.

References  Remote sensing, models, and methods for image processing, Robert A. Schowengerdt, second edition, San Diego, Academic Press,  Introductory Digital Image Processing: A Remote Sensing Perspective, John R. Jensen, second edition, Prentice Hall, 1995.

Schedule  Introduction  Image rectification and restoration  Image enhancement  Image classification  Data merging and GIS integration  Hyperspectral image analysis  Scientific paper reading and term project report  SAR processing and analysis  Programming in ENVI

Some questions  Who am I?  Why are we here? You and I, …  Why exams? Acquire knowledge, …  Why taking lectures? Save time and efforts, …  Why Lab evaluation? Keep on the right track, …

Responses  Lecture notes on web  Three ways to be master of AARSI Practice  Strategy Free access to the remote sensing lab (issue entry card) 10 min on-site test every week On-site (mid-term and final) exams Monitoring student’s progress and grade  On-line report everybody’s grade every week

Grade  Weekly on-site exams 60%  Term project 40% Base on at least one SCI paper A short essay

Laboratory Regulation  No computer games, MP3, pornography, DVD, movies or any illegal downloads The computers are endued with the most noble mission of education  No food or drink The computers are neither hungry nor thirsty  Take off shoes The computers got a delicate respiratory system  No changes of hardware or software The computers like the way they are

Enforcement of Regulation  Those who have the privilege of using the lab have the responsibility to report any violation of regulation  Camera system  Computer log file  Laboratory head Take in charge of this lab Take all responsibilities

Violation of Regulation  One violation, three points  Five points, revoke entry card  Stay with any violation without report, one point each  Penalty of losing or damaging entry card: NT 500

Limitation of student number  20  Deliberate before taking this course  We still have chances in the future

Office hours  Monday: 14:00 – 17:00  Wednesday: 15:00 – 17:00  Friday: TGIF party  Anytime if necessary

Some issues  Representative Textbook  Name, Student ID number, Department/Year, Cell phone number, address, (advisor’s name)  Introduce yourself Why take this course Background (computing) Research interests Accessible computer resources

Getting start with ENVI  Start ENVI  Disk location  Load a gray scale image  ENVI file format Band sequential (BSQ) Band interleaved by Pixel (BIP) Band interleaved by Line (BIL)  Display Scroll window Image window Zoom window

Getting start with ENVI (cont.)  Main image display menu bar  Available band list  Mouse bottom  Cursor location  Contrast stretch Enhance  Linear  Equalization  Interactive  Color map  Animation

Getting start with ENVI (cont.)  Scatter plots  Region of interest  Load a color composite image  Classification  Dynamic link  Annotation  Grid lines  Save and output  Exit