校際選修

115-1 選課時程

進行中

  • 初選第一階段 6/15/2026
  • 初選第二階段 6/22/2026
  • 校際選修 8/24/2026
  • 初選第三階段 8/31/2026
  • 開學後加退選 9/7/2026
  • 逾期加退選 9/21/2026
選課資源

多模態影像資料處理

Multi-Modality Image Processing, MMIP

學期
114-1
學分
3 學分
當期課號
639006
永久課號
AICA30039
開課單位
智慧科學暨綠能學院
授課教師
許志仲
校區
歸仁
類別
選修
上課時間表
週三
5
13:20–14:10
多模態影像資料處理
CM217
3 節連堂
6
14:20–15:10
7
15:30–16:20

* 根據陽明交大上課時間表所列

概述

This course introduces fundamental techniques and algorithms used in digital image processing (DIP), with a focus on applications in satellite imagery and geospatial data. Starting from the basics of image formation, sampling, enhancement, and restoration, the course progresses toward advanced methods in feature extraction, pattern recognition, and multi-modal data integration. Students will explore real-world use cases in environmental monitoring, urban planning, disaster response, agricultural analysis, and hyperspectral imaging—many derived directly from current research and state-of-the-art projects. Emphasis will be placed on practical algorithm development, critical evaluation of image processing pipelines, and the application of machine learning and AI to satellite data.

先修科目

calculus, linear algebra

教學方式

Lecture, invited talk, and presentation

評分方式

Assignment 80% Mid-term 10% Final Project 10%

週次計畫
週次主題
第 1 週Digital image processing: pixel, resolution, and scaling
第 2 週Image filtering: convolution operation, filter design, blurring and sharpening
第 3 週Noise removal, image enhancement, Color representation, RGB, HSI, 24 bit and 8 bit color tables
第 4 週The frequency domain, the FFT, Digital filtering, image enhancement, noise
第 5 週Inpainting: from image processing to neural networks
第 6 週Image compression: DCT, Wavelet, and data compression
第 7 週Image compression standard: bitrate, entropy, huffman coding, and JPEG
第 8 週Midterm
第 9 週Homograph estimation
第 10 週Image global and local featurefeatures
第 11 週Hyperspectral foundations
第 12 週Hyperspectral image processing
第 13 週Medical Image foundations
第 14 週Medical Image processing
第 15 週Invited Talk
第 16 週Final project presentation
Office Hours
地點
ACVLab, 致遠樓 2F
時間
10:00-11:00 Wed.
聯絡方式
chihchung@nycu.edu.tw