Universidad de Jaén

THEORETICAL CONTENTS

UNIT 0. INTRODUCTION.

Lesson 1. Introduction to Remote Sensing

Concepts. Historical review. Applications.

 

UNIT I. PHYSICAL PRINCIPLES.

Lesson 2. The electromagnetic radiation (EMR).

Electromagnetic spectrum. Radiation laws.

Lesson 3. EMR-matter interaction.

Microscopic and macroscopic Interaction. Spectral response of soils. Spectral response of vegetation.

Lesson 4. EMR-atmosphere interaction.

Atmospheric constituents. Atmospheric optics. Atmospheric effects: scattering and absorption. Atmospheric corrections in the VIS and IR. Atmospheric models.

 

UNIT II. DIGITAL IMAGE PROCESSING

Lesson 5. The digital image.

Concept. Formats. Resolution and types of resolution. Sensor types. Remote Sensing programs.

Lesson 6. Corrections and radiometric enhancement

Radiometric anomalies. Corrections. Image histogram. Contrast. Contrast Stretch. Strecht types. Radiometric normalization.

Lesson 7. Application of color.

Color compositions. Real and false color.

Lesson 8. Filtering.

Convolution filters. Textural filters. Filtering in the frequency domain. Restoration of images.

Lesson 9. Georeferencing.

Geometric corrections by modeling. Georeferencing procedures. Topographic correction.

 

UNIT III. METHODS

Lesson 10. Bands algebra and global transformations.

Vegetation indices. Principal components transformation. Other transformations.

Lesson 11. Digital classification.

Unsupervised and supervised classifications. Methods and phases. Hyperspectral classification. Expert classification.

Lesson 12. Multitemporal analysis.

Multitemporal Compositions. Difference images. Ratio images. Principal components. Regression. Multitemporal vectors.

 

UNIT IV. ACTIVE SENSORS.

Lesson 13. Radar.

Principles of radar. Real Aperture Radar. Synthetic Aperture Radar. Nonimaging radar. Polarimetry. DInSAR.

Lesson 14. Lidar.

Principles. Data acquisition. Data processing. Applications.

 

UNIT V. APPLICATIONS.

Lesson 15. Methodology and applications.

Structure of a remote sensing project. Applications.

 

PRACTICES

Exercises 1. Physical principles. Waves. Radiation laws.

Exercises 2. Image processing. Contrast Stretch. Filtering.

Exercises 3. Digital classifications.

Practice 1. Presentation of the practices. Software of visualization and processing.

Practice 2. Spectral libraries. Corrections and atmospheric models.

Practice 3. Image. Resolution. Space programs.

Practice 4. Corrections and radiometric enhancement.

Practice 5. Color compositions.

Practice 6. Filtered.

Practice 7. Georeferencing.

Practice 8. Transformations.

Practice 9. Classifications.

Practice 10. Multitemporal analysis.

Practice 11. Radar.

Practice 12. Practice exam.

Theory lectures are organized in one-hour class sessions for the big group, with two hours a week during the teaching period (30 hours). If it is possible, it will be scheduled a conference of two hours on a hot topic in the last weeks of the course.

The practices are organized in two types of activities. On one hand, computer practices will be developed, scheduled for small group in two-hour sessions per week during the teaching period, and coordinated with the lectures (24 hours). The last of these sessions will be a practical examination. On the other hand, three sessions of problems will be scheduled once the corresponding thematic units are completed (6 hours).

Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support

To pass the course it is necessary to obtain an overall score of 5 points, once combined the various parts: theory and problems (75%), practices (15%) and attendance-participation (10%).