A method is performed at a moveable scanner with one or more optical sensors. The method includes scanning, using the moveable scanner, an object having a surface. The scanning generates color data from a plurality of orientations of the moveable scanner with respect to the object. The method further includes generating, using at least the color data, a pixel map of the surface of the object, the pixel map including, for each respective pixel of a plurality of pixels: a color value of a corresponding point on the surface of the object; and a value for a non-color property of the corresponding point on the surface of the object.

A method is performed at a moveable scanner with one or more optical sensors. The method includes scanning, using the moveable scanner, an object having a surface. The scanning generates color data from a plurality of orientations of the moveable scanner with respect to the object. The method further includes generating, using at least the color data, a pixel map of the surface of the object, the pixel map including, for each respective pixel of a plurality of pixels: a color value of a corresponding point on the surface of the object; and a value for a non-color property of the corresponding point on the surface of the object.

In an embodiment, a method for estimating an object distance is used by an electronic device including a light sensor. The method includes: detecting, by the light sensor, a light reflected from an object; establishing an object brightness table according to the detected light, where the object brightness table records brightness information of the light corresponding to a plurality of pixel locations; analyzing the object brightness table and a plurality of base brightness tables to obtain differential quantitative information and obtaining a target base distance corresponding to a target base brightness table among the base brightness tables according to the differential quantitative information; and determining a distance between the electronic device and the object according to the target base distance.

In an embodiment, a method for estimating an object distance is used by an electronic device including a light sensor. The method includes: detecting, by the light sensor, a light reflected from an object; establishing an object brightness table according to the detected light, where the object brightness table records brightness information of the light corresponding to a plurality of pixel locations; analyzing the object brightness table and a plurality of base brightness tables to obtain differential quantitative information and obtaining a target base distance corresponding to a target base brightness table among the base brightness tables according to the differential quantitative information; and determining a distance between the electronic device and the object according to the target base distance.

A system and method to generate flood inundation maps in near real time. The system includes a plurality of computer processing modules: a flood trigger system, a SAR data query system, and a RAPID kernel algorithm system, running in real time, to identify the potential flood zones, query SAR data, and finally compute the inundation maps, respectively. As disclosed herein, the RAPID kernel algorithm is extended to a fully automated flood mapping system that requires no human interference from the initial flood events discovery to the final flood map production.

A system and method to generate flood inundation maps in near real time. The system includes a plurality of computer processing modules: a flood trigger system, a SAR data query system, and a RAPID kernel algorithm system, running in real time, to identify the potential flood zones, query SAR data, and finally compute the inundation maps, respectively. As disclosed herein, the RAPID kernel algorithm is extended to a fully automated flood mapping system that requires no human interference from the initial flood events discovery to the final flood map production.

Embodiments described herein relate to systems and methods for specular surface inspection, and particularly to systems and methods for surface inspection comprising inverse synthetic aperture imaging (“ISAI”) and specular surface geometry imaging (“SSGI”). Embodiments may allow an object under inspection, to be observed, imaged and processed while continuing to be in motion. Further, multiple optical input sources may be provided, such that the object does not have to be in full view of all optical sensors at once. Further, multi-stage surface inspection may be provided, wherein an object under inspection may be inspected at multiple stages of an inspection system, such as, for an automotive painting process, inspection at primer, inspection at paint, inspection at final assembly. SSGI imaging modules are also described for carrying out micro-deflectometry.

Embodiments described herein relate to systems and methods for specular surface inspection, and particularly to systems and methods for surface inspection comprising inverse synthetic aperture imaging (“ISAI”) and specular surface geometry imaging (“SSGI”). Embodiments may allow an object under inspection, to be observed, imaged and processed while continuing to be in motion. Further, multiple optical input sources may be provided, such that the object does not have to be in full view of all optical sensors at once. Further, multi-stage surface inspection may be provided, wherein an object under inspection may be inspected at multiple stages of an inspection system, such as, for an automotive painting process, inspection at primer, inspection at paint, inspection at final assembly. SSGI imaging modules are also described for carrying out micro-deflectometry.

A camera, including: two imaging systems each comprising a different optical path corresponding to a different viewing angle of an object; one or more illumination sources; a mask disposed with multiple pairs of apertures, wherein each aperture of each aperture pair corresponds to a different one of the imaging systems; at least one detector configured to acquire multiple image pairs of the object from the two imaging systems via the multiple pairs of apertures; and a processor configured to produce from the multiple acquired image pairs a multi-layer three dimensional reconstruction of the object.

A camera, including: two imaging systems each comprising a different optical path corresponding to a different viewing angle of an object; one or more illumination sources; a mask disposed with multiple pairs of apertures, wherein each aperture of each aperture pair corresponds to a different one of the imaging systems; at least one detector configured to acquire multiple image pairs of the object from the two imaging systems via the multiple pairs of apertures; and a processor configured to produce from the multiple acquired image pairs a multi-layer three dimensional reconstruction of the object.