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.
India has launched 56 satellites into space to date. Many of which have since completed their missions and are no longer operational, some have been landed.
Lasers are used in space for various purposes including communication with spacecraft, measuring distances between objects in space, transmitting power, and conducting experiments related to physics and astronomy. They are also used in remote sensing to gather data on the Earth and other celestial bodies.
A space satellite is a man-made object launched into space to perform various functions, such as communication, remote sensing, weather monitoring, navigation, and scientific research. Satellites orbit the Earth and can be stationary or move in specific paths depending on their purpose.
If there is, it wasn't built by human beings from the planet Earth, and none of our remote sensing robot machines that we've sent to Mars has seen it.
Object space refers to the coordinate system in which an object's vertices and shapes are defined. Image space, on the other hand, refers to the coordinate system in which the final rendered image is created, mapping the object space to the 2D screen space by using projection and transformation matrices. Object space is typically 3D while image space is usually 2D.
Feature space in remote sensing refers to the multidimensional space where each point represents a unique combination of pixel values captured by different spectral bands. It is commonly used for classification and analysis by machine learning algorithms to distinguish between different land cover or land use classes based on their spectral signatures. By analyzing the feature space, researchers can effectively differentiate and classify various features on the Earth's surface using remote sensing data.
Explain how the remote sensing satellites examined the earth from the space?
satalites, and space ships with sensers.
The four types of remote sensing are passive remote sensing (detects natural radiation), active remote sensing (emits energy and measures its reflection), aerial photography (uses cameras on aircraft or satellites), and satellite imaging (capturing images from space using satellites).
The National Remote Sensing Agency (NRSA) is located in Hyderabad, India. It is an autonomous organization under the Department of Space, Government of India, and is responsible for remote sensing satellite data acquisition and processing.
E. C. Barrett has written: 'Geography from space' -- subject(s): Physical geography 'First WetNet Precipitation Intercomparison Project (PIP-1): A special issue of the journal Remote Sensing Reviews (Remote Sensing Reviews,)' 'Introduction to environmental remote sensing' -- subject(s): Earth sciences, Geography, Remote sensing
H. S. Chen has written: 'Human Space Exploration' 'Remote sensing calibration systems' -- subject(s): Scientific apparatus and instruments, Equipment and supplies, Remote sensing, Calibration 'Geostationary Weather Remote Sensing Systems' 'Life science systems' -- subject(s): Life support systems (Space environment)
Khanh D. Pham has written: 'Sensors and systems for space applications IV' -- subject(s): Radar, Remote sensing, Congresses, Observations, Artificial satellites in remote sensing
There are a few field studies that sensing cannot put together. Some of the studies are space and earth.
In remote sensing, a platform refers to the vehicle or instrument used to collect data from above the Earth's surface. This can include satellites, aircraft, drones, or ground-based sensors. The choice of platform depends on the specific needs of the remote sensing application and the type of data being collected.
Remote Sensing... http://www.ccrs.nrcan.gc.ca/resource/tutor/fundam/chapter1/01_e.php Cheers...
Brian Banks has written: 'Satellite images' -- subject(s): Photographs from space, Remote sensing