公开(公告)号：US20240119700A1

公开(公告)日：2024-04-11

申请号：US18181183

申请日：2023-03-09

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Peder Andreas OLSEN ,  Roberto DE MOURA ESTEVAO FILHO ,  Leonardo de Oliveira NUNES

IPC: G06V10/60 ,  G06T7/90 ,  G06V10/25 ,  G06V10/26 ,  G06V10/56 ,  G06V10/74 ,  G06V20/13

CPC classification number: G06V10/60 ,  G06T7/90 ,  G06V10/25 ,  G06V10/26 ,  G06V10/56 ,  G06V10/761 ,  G06V20/13 ,  G06T2207/10024

Abstract: Clouds in a satellite image are replaced with a prediction of what was occluded by those clouds. The cloudy portion of the image is interpolated from a series of satellite images taken over time, some of which are cloud-free in the target image's cloudy portion. In some configurations, clouds are removed taking into account each pixel's availability—a measure of certainty that a pixel is cloud-free. Furthermore, these images may have been taken under different amounts of illumination, making it difficult to determine whether a difference between two images is due to a change in illumination or a change to the location. The effect of illumination on each image is removed before interpolating the cloudy portion of the image. In some configurations, removing the effect of illumination also takes into account pixel availability.

公开(公告)号：US20230386200A1

公开(公告)日：2023-11-30

申请号：US17804195

申请日：2022-05-26

Applicant: Microsoft Technology Licensing, LLC

Inventor： Roberto DE MOURA ESTEVAO FILHO ,  Leonardo DE OLIVEIRA NUNES ,  Peder Andreas OLSEN ,  Anirudh BADAM

IPC: G06V20/10 ,  G06V10/60 ,  G06V10/774

CPC classification number: G06V20/194 ,  G06V10/60 ,  G06V10/774 ,  G06V20/188

Abstract: A computing system measures terrain coverage by: obtaining sample image data representing a multispectral image of a geographic region at a sample resolution; generating, based on the sample image data, an index array of pixels for a subject terrain in which each pixel has an index value that represents a predefined relationship between a first wavelength reflectance and a second wavelength reflectance; providing the index array to a trained calibration model to generate an estimated value based on the index array, the estimated value representing an estimated amount of terrain coverage within the geographic region for the subject terrain; and outputting the estimated value for the subject terrain. The trained calibration model may be trained based on training data representing one or more reference images of one or more training geographic regions containing the subject terrain at a higher resolution than the sample resolution.

公开(公告)号：US20230316745A1

公开(公告)日：2023-10-05

申请号：US17804815

申请日：2022-05-31

Applicant: Microsoft Technology Licensing, LLC

Inventor： Sara MALVAR MAUA ,  Leonardo DE OLIVEIRA NUNES ,  Roberto DE MOURA ESTEVAO FILHO ,  Yagna Deepika ORUGANTI ,  Anirudh BADAM

IPC: G06V20/10 ,  G06V10/58 ,  G06V10/60 ,  G06N3/08

CPC classification number: G06V20/194 ,  G06V10/58 ,  G06V10/60 ,  G06N3/08

Abstract: Techniques for optically detecting a subject chemical species within an atmospheric environment are disclosed. Image data is obtained representing multispectral imagery of a geographic region captured through the atmospheric environment. The image data includes an array of band-specific intensity values for each of a plurality of spectral bands, including a sample spectral band having increased sensitivity to the subject chemical species as compared to a plurality of reference spectral bands. A background reflectance map is generated that includes an array of inter-band intensity values in which each inter-band intensity value represents a filtered combination of band-specific intensity values of albedo-normalized arrays for a grouped subset of the plurality of reference spectral bands. The albedo-normalized array of band-specific intensity values for the sample spectral band is compared to the background reflectance map to obtain an index array of intensity variance values for the subject chemical species.