What is meant by radiometric resolution?
The radiometric resolution of an imaging system describes its ability to discriminate very slight differences in energy The finer the radiometric resolution of a sensor, the more sensitive it is to detecting small differences in reflected or emitted energy.
What is radiometric resolution example?
Radiometric resolution is measured in bits (a number to the exponential power of 2) and the higher the number, the finer the radiometric resolution. For example, the first Landsat satellite has a 6-bit radiometric resolution; however, Landsat 4 and 5 have a finer radiometric resolution of 8 bits.
Which sensor has the highest radiometric resolution?
The Landsat 7 sensor records 8-bit images; thus it can measure 256 unique grey values of the reflected energy while Ikonos-2 has an 11-bit radiometric resolution (2048 grey values). In other words, a higher radiometric resolution allows for simultaneous observation of high and low contrast objects in the scene.
What is radiometric resolution Landsat?
Landsat sensor | MSS (LS-1-5) | TM (LS-4/5) |
---|---|---|
Swath width | 185 km | 185 km |
Spatial resolution | 80 m | 30 m VNIR/SWIR 120 m TIR |
Radiometric resolution | 6 bit | 8 bit |
Band-to-band registration | 0.2 pixel (90%) |
Why is radiometric resolution important in remote sensing?
The radiometric resolution and the spatial resolution are the most important measure for characterisation of digital spectral. The radiometric resolution stands for the ability of a digital sensor to distinguish between grey-scale values while acquiring an image.
Why is radiometric resolution important?
What is geometrical resolution give example?
Geometric resolution refers to the satellite sensor’s ability to effectively image a portion of the Earth’s surface in a single pixel and is typically expressed in terms of Ground sample distance, or GSD.
What is geometric and radiometric correction?
As any image involves radiometric errors as well as geometric errors, these errors should be corrected. Radiometric correction is to avoid radiometric errors or distortions, while geometric correction is to remove geometric distortion.
Why do we do radiometric correction?
The main purpose for applying radiometric corrections is to reduce the influence of errors or inconsistencies in image brightness values that may limit one’s ability to interpret or quantitatively process and analyze digital remotely sensed images.