A method of operating a dimensioning system to determine dimensional information for objects is disclosed. A number of images are acquired. Objects in at least one of the acquired images are computationally identified. One object represented in the at least one of the acquired images is computationally initially selected as a candidate for processing. An indication of the initially selected object is provided to a user. At least one user input indicative of an object selected for processing is received. Dimensional data for the object indicated by the received user input is computationally determined.

The present invention is a semi-automated process to extract object motion and attributes from utilizing a remote sensing methodology using Earth Observation data from single pass satellite imagery. Many single pass satellite sensors collect imagery that include a panchromatic and multispectral image with a slight temporal offset. The method of the present invention performs image processing, object segmentation, object measurement, image normalization and image matching and velocity calculation to extract physical attributes of the object, object location, and object motion.

Discussed herein are systems, devices, and methods for filtering digital elevation map (DEM) data. A method can include ingesting digital elevation map (DEM) data and intensity data from a panchromatic (PAN) or multi-spectral (MS) image, filling in voids in the ingested DEM data using local interpolation to create interpolated DEM data, creating a shadow map based on the received intensity data, modifying, using the created shadow map, a height of one or more pixels in the interpolated DEM data to create a modified DEM file, and storing the modified DEM file in a memory.

A method and system for enhancing predictive accuracy of planet surface characteristics from orbit using an extended approach of Pan-Sharpening by using multiple high resolution bands to reconstruct high resolution hyperspectral image is disclosed. Sparsity based classification algorithm is applied to rock type classification. An Extended Yale B face database is used for performance evaluation; and utilizing deep Neural Networks for pixel classification. The present invention presents a system that can significantly enhance the predictive accuracy of surface characteristics from the orbit. The system utilizes complementary images collected from imagers onboard satellites. The present system and method generates high spatial high spectral resolution images; accurate detection of anomalous regions on Mars, Earth, or other planet surfaces; accurate rock/material classification using orbital data and the surface characterization performance will be comparable to in-situ results; and accurate chemical concentration estimation of rocks.

High-speed hyperspectral (HSHS) video reconstruction is implemented in an imaging system. A hyperspectral snapshot is determined. A panchromatic video is determined corresponding to a frame time of the hyperspectral snapshot, the panchromatic video including a plurality of panchromatic frames. An HSHS video is generated by building a patch dictionary based at least in part on the panchromatic video and generating at least one frame of the HSHS video based at least in part on the patch dictionary, the panchromatic video, and the hyperspectral snapshot. A computing device can include a dictionary component configured to determine the patch dictionary and a reconstruction component configured to generate at least one HSHS frame based at least in part on the patch dictionary, the panchromatic video, and the hyperspectral snapshot.

The present invention presents four fusion approaches, which can be directly applied to Worldview-3 (WV-3) images. Moreover, they can also be applied to other current or future satellite images that have similar characteristics of WV-3. The present invention also presents data processing methods, including image fusion method, anomaly detection method, material classification method, and concentration estimation method that utilize the high-resolution images generated by the mentioned fusion methods. There are four fusion approaches disclosed in the present invention, e.g. Parallel one-step fusion approach; Sequential fusion of various bands; Sequential-Parallel fusion; and Parallel-Sequential fusion.

Techniques for atmospheric compensation in satellite imagery that include converting an image including an array of radiance values to an array of surface reflectance values. The conversion is performed in an automated fashion by identifying one or more portions of the image for which the surface reflectance can be estimated and determining the Aerosol Optical Depth (AOD) by iteratively comparing the radiance value captured by the image sensor to a calculated radiance value (based on the known surface reflectance, historical values for other atmospheric parameters, and the AOD) and adjusting the AOD until the calculated radiance value is substantially the same as the captured radiance value.

Image acquisition and analysis systems for efficiently generating high resolution geo-referenced spectral imagery of a region of interest. In some examples, aerial spectral imaging systems for remote sensing of a geographic region, such as a vegetative landscape are disclosed for monitoring the development and health of the vegetative landscape. In some examples photogrammetry processes are applied to a first set of image frames captured with a first image sensor having a first field of view to generate external orientation data and surface elevation data and the generated external orientation data is translated into external orientation data for other image sensors co-located on the same apparatus for generating geo-referenced images of images captured by the one or more other image sensors.

This disclosure describes a system and a method for determining statistics of plant populations based on overhead optical measurements. The system may include one or more hardware processors configured by machine-readable instructions to receive output signals provided by one or more remote sensing devices mounted to an overhead platform. The output signals may convey information related to one or more images of a land area where crops are grown. The one or more hardware processors may be configured by machine-readable instructions to distinguish vegetation from background clutter; segregate image regions corresponding to the vegetation from image regions corresponding to the background clutter; and determine a plant count per unit area.

Discussed herein are systems, devices, and methods for filtering digital elevation map (DEM) data. A method can include ingesting digital elevation map (DEM) data and intensity data from a panchromatic (PAN) or multi-spectral (MS) image, filling in voids in the ingested DEM data using local interpolation to create interpolated DEM data, creating a shadow map based on the received intensity data, modifying, using the created shadow map, a height of one or more pixels in the interpolated DEM data to create a modified DEM file, and storing the modified DEM file in a memory.