Abstract: Systems and methods for automatic detection of disaster relief assets from a satellite image can include a satellite and a processor, which can contain non-transitory written directions that perform a method, which includes the step of defining spectra of interest (SOI). A reference spectral profile that is based on the SOI is built. The reference spectral profile can extend into the near infrared range to eliminate false positive indications. A satellite image of the spatial region of interest (ROI) is taken. For each pixel in the ROI, test spectra of the spatial region can be extracted and compared to the reference spectral profile using a spectral angle mapper (SAM) tool. When the comparison meets predetermined parameters, that pixel of the ROI can be deemed to be indicative of a disaster relief asset, and the geo-reference data for that pixel can be transmitted to a remote user.

Abstract: A method involves adapting a vessel detection algorithm based upon received synthetic aperture radar (SAR) image data and associated metadata, detecting one or more vessels within an image tile of the SAR image data by iteratively applying the adapted vessel detection algorithm to successive portions of the image tile, discarding a detected vessel if a false alarm is determined, extracting one or more features from the detected vessels that are not discarded, and generating one or more output products based upon the extracted features.

Abstract: A method for automatically detecting and mapping fires based on information extracted from commercial overhead EO/IR imagery, creating geo-referenced files which can be opened in most common geographic information system (GIS) software packages. The method creates a shapefile (*.shp & *.shx) and a Google Earth file (*.kmz) which contain the outlines of the areas from the image being processed with active fire in them, which types of files are typically very small compared to the size of the image file being processed. The method utilizes algorithms designed to process information contained in multi-spectral electro-optical imagery to classify pixels as ‘fire’ or ‘non-fire’. The method also has the ability to identify the approximate length, width, and area of the fires detected.