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When satellite image is analyzed a unit called pixel is key to calculating what?

When analyzing satellite images, a pixel represents the smallest unit of information in the image. It contains data about the color, intensity, and other characteristics of a specific location on the Earth's surface. By calculating the values stored in each pixel, it is possible to extract information about land cover, land use, and environmental changes.


What is image space and feature space in remote sensing?

The image space is the 2D plane of the image where pixels are located. It represents the spatial space of the image. In other words, when we talk about the location of each pixel in an image, we are talking about image space. On the other hand, feature space is about the radiometric values assigned to each pixel. In case of a grey-scale imagery, only one radiometric value is assigned to each pixel. When we say an image is RGB or multispectral, then each pixel has several radiometric values that are stored in different channels (for instance there are 3 channels of Red, Green and Blue in an RGB image, so for a pixel we have 3 radiometric values). Feature Space is the space of these radiometric values; the radiometric values of each pixel can be plotted in that space and you can create a feature space image. Last example, an RGB image has a 3 dimensional feature space while it still has a 2D image space.


How do pixels make up a satellite image?

A satellite image is made up of pixels, which are tiny square elements that form a grid to represent the image. Each pixel contains digital information about color and brightness, and when combined, they create the overall visual representation of the Earth's surface as captured by the satellite sensor. The resolution of a satellite image is determined by the size of these pixels, with higher resolution images having smaller pixels and capturing more detail.


What affects screen clarity?

Screen clarity can be affected by factors such as resolution, pixel density, display technology, brightness, contrast ratio, and viewing angle. Higher resolution and pixel density typically result in clearer images, while factors like brightness and contrast ratio impact the overall visibility of content on the screen. Viewing angle determines how well the screen can be seen from different perspectives.


Why do your eyes see different colors when there are only 3 pixel colors?

There are seven primary colors in the rainbow- use the acronym Roy G Biv. Red-Orange-Yellow Green ( neutral) Blue- Indigo- Violet.. I do not know about the pixel colors which are in photography usage, not the optics of the human eye. Hi