# US 2016/0253545 A1 · Method and system for classifying a terrain type in an area > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2016/0253545 A1 - Document ID: US20160253545A1 - Status: Published application - Kind: A1 - Application number: 15/150,943 - Filed: 2016-05-10 - Published: 2016-09-01 - Earliest claimed: 2014-12-16 - Assignees: Vricon Systems Aktiebolag - Applicants: Vricon Systems Aktiebolag - Inventors: Leif Haglund; Folke Isaksson; Per Carlbom; Ola Nygren; Johan Borg; Sanna Ringqvist; Anton Nordmark - Web page: https://patentgrep.com/patent/US20160253545A1 ## CPC - G06V 20/13: Satellite images - G06T 7/507: from shading (G06T7/586 takes precedence) - G06T 17/05: Geographic models - G06T 2207/10036: Multispectral image; Hyperspectral image - G06T 2207/30181: Earth observation - G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract A method for classifying a terrain type in an area is provided, which comprises the steps of obtaining a plurality of overlapping aerial images of the area, calculating at least one terrain type index for each part of each of the aerial images which lies in the area, where the at least one terrain type index represents the terrain type, determining at least one terrain type index for each part of the area based on the calculated at least one terrain type index for each part of each of the aerial images, and classifying the parts of the area for which at least one pre-determined conditions is met as containing the terrain type, wherein at least one of the at least one predetermined condition relates to a value of the determined at least one terrain type index. Also provided is a system and a computer program product. ## Claims ### Claim 1 Method for classifying a terrain type in an area, the method comprising the steps of: obtaining a plurality of overlapping aerial images of the area; calculating at least one terrain type index for each part of each of the aerial images which lies in the area, where the at least one terrain type index represents the terrain type; determining at least one effective terrain type index for each part of the area based on the calculated at least one terrain type index for each part of each of the aerial images; and classifying the parts of the area for which at least one pre-determined conditions is met as containing the terrain type, wherein at least one of the at least one predetermined condition relates to a value of the determined at least one effective terrain type index. ### Claim 2 (depends on 1) The method according to claim 1, where the classified terrain type is water and where the at least one terrain type index comprises a water index. ### Claim 3 (depends on 1) The method according to claim 1, wherein surface elevation data is used at least one of to relate the images in the obtained plurality of overlapping aerial images to area data or to relate the effective terrain type index to area data. ### Claim 4 (depends on 1) The method according to claim 1, wherein the aerial images are images taken from at least one satellite. ### Claim 5 (depends on 1) The method according to claim 1, further comprising a step of calibrating said plurality of aerial images of an area for at least one wavelength band and preferably for all wavelength bands which are used for calculating the at least one terrain type index. ### Claim 6 (depends on 1) The method according to claim 1, further comprising a step of calibrating said plurality of aerial images of an area for all wavelength bands which are used for calculating the at least one terrain type index. ### Claim 7 (depends on 1) The method according to claim 1, wherein the step of determining the at least one effective terrain type index for each part of the area comprises using at least one of a voting mechanism or a statistical method. ### Claim 8 (depends on 1) The method according to claim 1, wherein the method is used to classify a plurality of terrain types based on a plurality of terrain type indices each representing a specific terrain type. ### Claim 9 (depends on 1) The method according to claim 1, further comprising a step of obtaining surface elevation data of the area, and where the at least one pre-determined condition also relates to surface elevation data for the corresponding part of the area. ### Claim 10 (depends on 1) The method according to claim 1, further comprising a step of obtaining at least one shadow mask. ### Claim 11 (depends on 10) The method according to claim 10, wherein the step of obtaining said at least one shadow mask comprises the steps of: obtaining for each of the images in the plurality of overlapping aerial images information relating to the position of the sun at the time the image was taken and information relating to the angle from which the image was taken; providing a three-dimensional model of the area; determine the position of the shadow in each of the images in the plurality of overlapping aerial images based on the provided three-dimensional model of the area, based on the information relating to the position of the sun at the time the image was taken and based on the information relating to the angle from which the image was taken. ### Claim 12 (depends on 10) The method according to claim 10, wherein said terrain type index is only calculated for the parts of each of the images in the plurality of overlapping aerial images for which no shadow has been determined. ### Claim 13 (depends on 10) The method according to claim 10, wherein said terrain type index is only used for the parts of each of the images in the plurality of overlapping aerial images for which no shadow has been determined. ### Claim 14 A computer program comprising at least one non-transitory computer-readable storage medium having computer-readable program code for classifying a terrain type in an area embodied therein, the computer-readable program code being configured to execute the steps of: obtaining a plurality of overlapping aerial images of the area; calculating at least one terrain type index for each part of each of the aerial images, where the at least one terrain type index represents the terrain type; determining at least one effective terrain type index for each part of the area based on the calculated at least one terrain type index for each part of each of the aerial images; and classifying the parts of the area for which at least one pre-determined conditions is met as containing the terrain type, wherein at least one of the at least one predetermined condition relates to a value of the determined at least one effective terrain type index. ### Claim 15 A system for classifying a terrain type in an area, the system comprising: one or more memory storage areas configured to store a plurality of overlapping aerial images of the area; and a processing unit configured to: calculate at least one terrain type index for each part of each of the aerial images, where the at least one terrain type index represents the terrain type, determine at least one effective terrain type index for each part of the area based on the calculated at least one terrain type index for each part of each of the aerial images, and classify the parts of the area for which at least one pre-determined conditions is met as containing the terrain type, wherein at least one of the at least one predetermined condition relates to a value of the determined at least one effective terrain type index. ### Claim 16 (depends on 15) The system according to claim 15, wherein the processing unit further is configured to calibrate said plurality of aerial images of an area for at least one wavelength band used for calculating the at least one terrain type index. ### Claim 17 (depends on 15) The system according to claim 15, wherein the processing unit further is configured to calibrate said plurality of aerial images of an area for all wavelength bands used for calculating the at least one terrain type index. ### Claim 18 (depends on 15) The system according to claim 15, wherein the processing unit further is configured to obtain at least one shadow mask. ### Claim 19 (depends on 15) The system according to claim 15, wherein: surface elevation data of the area is attributed to the plurality of overlapping aerial images of the area, and the at least one pre-determined condition also relates to surface elevation data for the corresponding part of the area.