"Image analysis or imagery analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques."
Techniques used to interpret and extract information from remote sensing images, including image enhancement, feature extraction, and classification.
Electromagnetic spectrum: Understanding the different wavelengths of light and how they are used in remote sensing.
Photogrammetry: The science of obtaining reliable measurements and data from photographs.
Radiometry: The measurement and quantification of electromagnetic radiation, and its use in remote sensing.
Spectroscopy: The study of the interaction between matter and electromagnetic radiation, and how this interaction provides information about materials.
Image processing: Techniques used for enhancing and analyzing remote sensing images.
Geological principles: Understanding the geologic processes and principles that lead to specific landforms and features.
Geographic information systems (GIS): Tools used for collecting, analyzing, and displaying geographic data.
Image interpretation: The visual analysis of remote sensing images, including classification and identification of features.
Remote sensing platforms: Understanding the different types of remote sensing platforms, including satellite, airborne, and ground-based systems.
Image acquisition: Techniques used for acquiring remote sensing images, including sensors, cameras, and software.
Atmospheric correction: The process of removing the effects of the Earth's atmosphere on remote sensing images.
Digital terrain models: The creation and use of three-dimensional models of the Earth's surface for analysis and visualization.
Image classification: Techniques used for categorizing and grouping remote sensing images based on different characteristics.
Spatial analysis: Techniques used for analyzing spatial relationships between different features and data.
Change detection: Methods for identifying and analyzing changes in the Earth's surface over time using remote sensing images.
Ground truthing: The process of verifying remote sensing data by comparing it with field observations and measurements.
Data validation: Techniques for validating and verifying remote sensing data to ensure accuracy and reliability.
Data fusion: Methods for combining different types of remote sensing data to create more complete and accurate images.
Machine learning: The use of algorithms and statistical models to analyze and interpret remote sensing data.
Planetary science: Understanding the geology and processes of other planets and moons through remote sensing data.
Spectral analysis: Refers to the interpretation of images based on the electromagnetic radiation reflected or emitted by a planetary surface or atmosphere.
Geologic mapping: Refers to the interpretation of images to determine the distribution and age of rocks, landforms, and other geologic features.
Mineral identification: Refers to the interpretation of images to identify the types of minerals present on a planetary surface based on their spectral signatures.
Topographic mapping: Refers to the interpretation of images to determine the elevations and surface features of a planetary surface.
Stratigraphic interpretation: Refers to the interpretation of images to determine the sequence of rock layers and geologic events that have occurred on a planetary surface.
Surface features analysis: Refers to the interpretation of images to identify and analyze the various surface features such as craters, mountains, valleys, and other geologic formations.
Volunteer image analysis: Refers to the interpretation of planetary data by a group of volunteers, usually amateur scientists or enthusiasts, to identify and classify features on a planetary surface.
Polarimetry: Refers to the interpretation of images using polarized light to analyze the properties of a planetary surface or atmosphere.
Stereo imaging: Refers to the interpretation of images taken from different angles to produce a 3D map of a planetary surface, allowing for precise measurement of elevation and depth.
Coherent imaging: Refers to the interpretation of images using coherent light to examine the surface features and subsurface structure of a planetary surface.
Photogeology: Refers to the interpretation of images to determine the geologic history, structure, and composition of a planetary surface based on their appearance and patterns.
Radar imaging: Refers to the interpretation of images using radar signals to penetrate the planetary surface and map subsurface geology and structure.
Thermal analysis: Refers to the interpretation of images taken using thermal cameras to analyze the temperature and properties of a planetary surface or atmosphere.
Photometry: Refers to the interpretation of images using the amount of light reflected or emitted to analyze the properties and composition of a planetary surface or atmosphere.
"Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face."
"Computers are indispensable for the analysis of large amounts of data, for tasks that require complex computation, or for the extraction of quantitative information."
"On the other hand, the human visual cortex is an excellent image analysis apparatus, especially for extracting higher-level information."
"For many applications — including medicine, security, and remote sensing — human analysts still cannot be replaced by computers."
"Human analysts still cannot be replaced by computers...many important image analysis tools such as edge detectors and neural networks are inspired by human visual perception models."
"including medicine, security, and remote sensing."
"Computers are indispensable for the analysis of large amounts of data."
"The human visual cortex is an excellent image analysis apparatus, especially for extracting higher-level information."
"For tasks that require complex computation."
"For the extraction of quantitative information."
"Image analysis tasks can be as simple as reading bar coded tags."
"including medicine, security, and remote sensing."
"Human analysts still cannot be replaced by computers."
"many important image analysis tools such as edge detectors and neural networks are inspired by human visual perception models."
"Computers are indispensable for the analysis of large amounts of data."
"The human visual cortex is an excellent image analysis apparatus, especially for extracting higher-level information."
"many important image analysis tools such as edge detectors and neural networks are inspired by human visual perception models."
"For many applications — including medicine, security, and remote sensing..."
"For many applications — including medicine, security, and remote sensing..."