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Explore the image formation process in remote sensing, covering sensor scanning systems, geometric and radiometric distortions, and corrections. Learn to spatially reference data and correct for effects to enhance applications.
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Data Preprocessing Dr Lewis RSU Geography UCL
Rationale when we view an RS image, we see a 'picture’
Rationale when we view an RS image, we see a 'picture’ BUT need to be aware of the 'image formation process' to: • understand and use the information content of the image and factors operating on it • spatially reference the data
Overview • Image formation process • Sensor scanning systems • Geometric distortions • Radiometric distortions • dealing with these effects • applications • radiometric correction • geometric correction
Image formation process • Generally, an RS instrument makes a measure of the radiation received at a sensor
Types of sensor: Source of Energy • passive sensors • receive energy from a natural external energy source • e.g. reflected energy (originating at the Sun)
Types of sensor: Source of Energy • passive sensors • receive energy from a natural external energy source • e.g. emitted energy (thermal or microwave)
Types of sensor: Source of Energy • active sensors • emit energy from on-board source, and measure reflected energy • e.g. laser devices (LiDAR)
Types of sensor: Source of Energy • active sensors • emit energy from on-board source, and measure reflected energy • e.g. RADAR
Types of sensor: Source of Energy • active sensors • emit energy from on-board source, and measure reflected energy • e.g. RADAR
Types of sensor: Source of Energy • Semi-active sensors • emit energy from one platform, and measure from another • e.g. target illumination