JPWO2023175735A5 - - Google Patents

Download PDF

Info

Publication number
JPWO2023175735A5
JPWO2023175735A5 JP2022539086A JP2022539086A JPWO2023175735A5 JP WO2023175735 A5 JPWO2023175735 A5 JP WO2023175735A5 JP 2022539086 A JP2022539086 A JP 2022539086A JP 2022539086 A JP2022539086 A JP 2022539086A JP WO2023175735 A5 JPWO2023175735 A5 JP WO2023175735A5
Authority
JP
Japan
Prior art keywords
water vapor
points
value
height position
new
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
JP2022539086A
Other languages
Japanese (ja)
Other versions
JP7127928B1 (en
JPWO2023175735A1 (en
Filing date
Publication date
Application filed filed Critical
Priority claimed from PCT/JP2022/011696 external-priority patent/WO2023175735A1/en
Application granted granted Critical
Publication of JP7127928B1 publication Critical patent/JP7127928B1/en
Publication of JPWO2023175735A1 publication Critical patent/JPWO2023175735A1/ja
Publication of JPWO2023175735A5 publication Critical patent/JPWO2023175735A5/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Claims (10)

予め上空から撮影された撮影画像の所定の地点の特徴量に、予め計測された所定の地点における所定の高さ位置毎の水蒸気値に基づく情報である水蒸気情報が対応付けられた水蒸気対応情報を記憶し、
衛星からの受信信号に基づいて計測された、2つの地点における新たな水蒸気値を取得し、
新たに上空から撮影された新たな撮影画像から、前記2つの地点の新たな特徴量を抽出し、
前記新たな水蒸気値と前記新たな特徴量と前記水蒸気対応情報とに基づいて、前記2つの地点それぞれにおける所定の高さ位置毎の水蒸気値を算出し、計測水蒸気値として取得し、
前記計測水蒸気値と、前記2つの地点の間の距離である第一距離と、前記2つの地点の少なくとも一方から当該2つの地点の間に位置する対象地点までの距離である第二距離と、に基づいて、前記対象地点の所定の高さ位置の水蒸気値を算出する、
水蒸気観測方法。
Water vapor correspondence information in which water vapor information, which is information based on water vapor values measured in advance at each predetermined height position at a predetermined point, is associated with the feature amount of a predetermined point in a photographed image taken from the sky in advance. remember,
Obtain new water vapor values at two points measured based on signals received from the satellite,
Extract new features of the two points from a new image taken from above,
Based on the new water vapor value, the new feature amount, and the water vapor correspondence information, calculate a water vapor value for each predetermined height position at each of the two points, and obtain it as a measured water vapor value,
the measured water vapor value, a first distance that is the distance between the two points, and a second distance that is the distance from at least one of the two points to a target point located between the two points; Calculating the water vapor value at a predetermined height position of the target point based on
Water vapor observation method.
請求項1に記載の水蒸気観測方法であって、
前記第一距離と前記第二距離との割合に基づいて、前記対象地点の所定の高さ位置の水蒸気値を算出する、
水蒸気観測方法。
The water vapor observation method according to claim 1,
calculating a water vapor value at a predetermined height position of the target point based on a ratio of the first distance and the second distance;
Water vapor observation method.
請求項1又は2に記載の水蒸気観測方法であって、
前記2つの地点それぞれにおける同一の高さ位置の水蒸気値と、前記第一距離と、前記第二距離と、に基づいて、前記対象地点の所定の高さ位置の水蒸気値を算出する、
水蒸気観測方法。
The water vapor observation method according to claim 1 or 2,
Calculating a water vapor value at a predetermined height position at the target point based on the water vapor value at the same height position at each of the two points, the first distance, and the second distance;
Water vapor observation method.
請求項3に記載の水蒸気観測方法であって、
前記2つの地点それぞれにおける同一の高さ位置の水蒸気値の差と、前記第一距離と、前記第二距離と、に基づいて、前記対象地点の所定の高さ位置の水蒸気値を算出する、
水蒸気観測方法。
The water vapor observation method according to claim 3,
Calculating a water vapor value at a predetermined height position at the target point based on the difference in water vapor value at the same height position at each of the two points, the first distance, and the second distance;
Water vapor observation method.
請求項1乃至4のいずれかに記載の水蒸気観測方法であって、
前記水蒸気対応情報は、所定の地点の前記特徴量に、当該所定の地点における鉛直方向の所定の高さ位置毎の前記水蒸気情報が対応付けられており、
前記2つの地点それぞれにおける鉛直方向の所定の高さ位置毎の水蒸気値を算出する、
水蒸気観測方法。
The water vapor observation method according to any one of claims 1 to 4 ,
The water vapor correspondence information is such that the feature amount of a predetermined point is associated with the water vapor information for each predetermined height position in the vertical direction at the predetermined point,
Calculating the water vapor value for each predetermined height position in the vertical direction at each of the two points,
Water vapor observation method.
請求項1乃至5のいずれかにに記載の水蒸気観測方法であって、
前記2つの地点それぞれにおける鉛直方向の所定範囲内の全ての水蒸気値を前記新たな水蒸気値として取得し、
前記2つの地点それぞれにおける前記新たな水蒸気値に基づいて、当該2つの地点それぞれにおける鉛直方向の所定の高さ位置毎の水蒸気値を算出する、
水蒸気観測方法。
The water vapor observation method according to any one of claims 1 to 5 ,
obtaining all water vapor values within a predetermined range in the vertical direction at each of the two points as the new water vapor value;
Calculating a water vapor value for each predetermined height position in the vertical direction at each of the two points based on the new water vapor value at each of the two points,
Water vapor observation method.
請求項に記載の水蒸気観測方法であって、
前記2つの地点それぞれにおける前記新たな特徴量に対応する前記水蒸気対応情報内の前記水蒸気情報に基づいて、前記2つの地点それぞれにおける前記新たな水蒸気値を分割して、鉛直方向の所定の高さ位置毎の水蒸気値を算出する、
水蒸気観測方法。
The water vapor observation method according to claim 6 ,
Based on the water vapor information in the water vapor correspondence information corresponding to the new feature amount at each of the two points, the new water vapor value at each of the two points is divided to a predetermined height in the vertical direction. Calculate the water vapor value for each position,
Water vapor observation method.
請求項6又は7に記載の水蒸気観測方法であって、
前記2つの地点それぞれにおける前記新たな特徴量に対応する前記水蒸気対応情報内の前記水蒸気情報による所定の高さ位置毎の水蒸気値の割合に対応させて、前記2つの地点それぞれにおける前記新たな水蒸気値から当該2つの地点それぞれにおける鉛直方向の所定の高さ位置毎の水蒸気値を算出する、
水蒸気観測方法。
The water vapor observation method according to claim 6 or 7 ,
The new water vapor at each of the two points corresponds to the ratio of the water vapor value for each predetermined height position according to the water vapor information in the water vapor correspondence information corresponding to the new feature amount at each of the two points. Calculating the water vapor value at each predetermined height position in the vertical direction at each of the two points from the value,
Water vapor observation method.
請求項1乃至8のいずれかに記載の水蒸気観測方法であって、
前記水蒸気対応情報は、所定の地点の前記特徴量及び当該特徴量が抽出された前記撮影画像の撮影時刻に基づく時間情報に、前記水蒸気情報が対応付けられており、
前記新たな水蒸気値と前記新たな特徴量と前記新たな撮影画像を撮影した撮影時刻に基づく情報と前記水蒸気対応情報とに基づいて、前記2つの地点それぞれにおける所定の高さ位置毎の水蒸気値を算出する、
水蒸気観測方法。
The water vapor observation method according to any one of claims 1 to 8 ,
The water vapor correspondence information is such that the water vapor information is associated with time information based on the feature amount of a predetermined point and the time of photography of the captured image from which the feature amount is extracted;
A water vapor value at each predetermined height position at each of the two points based on the new water vapor value, the new feature amount, information based on the shooting time of the new captured image, and the water vapor correspondence information. calculate,
Water vapor observation method.
2つの地点それぞれにおける所定の高さ位置毎の水蒸気値を計測水蒸気値として取得する取得部と、
前記計測水蒸気値と、前記2つの地点の間の距離である第一距離と、前記2つの地点の少なくとも一方から当該2つの地点の間に位置する対象地点までの距離である第二距離と、に基づいて、前記対象地点の所定の高さ位置の水蒸気値を算出する算出部と、
予め上空から撮影された撮影画像の所定の地点の特徴量に、予め計測された所定の地点における所定の高さ位置毎の水蒸気値に基づく情報である水蒸気情報が対応付けられた水蒸気対応情報を記憶する記憶部と、
を備え、
前記取得部は、衛星からの受信信号に基づいて計測された、前記2つの地点における新たな水蒸気値を取得し、新たに上空から撮影された新たな撮影画像から、前記2つの地点の新たな特徴量を抽出し、前記新たな水蒸気値と前記新たな特徴量と前記水蒸気対応情報とに基づいて、前記2つの地点それぞれにおける所定の高さ位置毎の水蒸気値を算出して、前記計測水蒸気値として取得する、
水蒸気観測装置。
an acquisition unit that acquires a water vapor value at each predetermined height position at each of the two points as a measured water vapor value;
the measured water vapor value, a first distance that is the distance between the two points, and a second distance that is the distance from at least one of the two points to a target point located between the two points; a calculation unit that calculates a water vapor value at a predetermined height position of the target point based on;
Water vapor correspondence information in which water vapor information, which is information based on water vapor values measured in advance at each predetermined height position at a predetermined point, is associated with the feature amount of a predetermined point in a photographed image taken from the sky in advance. A memory unit that stores information,
Equipped with
The acquisition unit acquires new water vapor values at the two points measured based on signals received from the satellite, and calculates new water vapor values at the two points from a new image taken from above. Extract the feature amount, calculate the water vapor value for each predetermined height position at each of the two points based on the new water vapor value, the new feature amount, and the water vapor correspondence information, and calculate the water vapor value at each predetermined height position at each of the two points. Get it as a value,
Water vapor observation device.
JP2022539086A 2022-03-15 2022-03-15 Water vapor observation method Active JP7127928B1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2022/011696 WO2023175735A1 (en) 2022-03-15 2022-03-15 Water vapor observation method

Publications (3)

Publication Number Publication Date
JP7127928B1 JP7127928B1 (en) 2022-08-30
JPWO2023175735A1 JPWO2023175735A1 (en) 2023-09-21
JPWO2023175735A5 true JPWO2023175735A5 (en) 2024-02-21

Family

ID=83103208

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2022539086A Active JP7127928B1 (en) 2022-03-15 2022-03-15 Water vapor observation method

Country Status (2)

Country Link
JP (1) JP7127928B1 (en)
WO (1) WO2023175735A1 (en)

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5675081A (en) * 1995-12-04 1997-10-07 University Corporation For Atmospheric Research Atmospheric water vapor sensing system using global positioning satellites
JP2006078552A (en) * 2004-09-07 2006-03-23 Fujitsu Ten Ltd Image magnification device
JP5235855B2 (en) * 2009-12-22 2013-07-10 中国電力株式会社 Environmental data interpolation method, environmental data interpolation device, program, and photovoltaic power generation amount calculation system
US9429680B2 (en) * 2014-08-07 2016-08-30 The Boeing Company Ice crystal icing engine event probability estimation apparatus, system, and method
AT520436B1 (en) * 2017-09-13 2019-04-15 UBIMET GmbH Method for determining at least one meteorological quantity for describing a state form of atmospheric water
JP7232610B2 (en) * 2018-10-16 2023-03-03 千代田化工建設株式会社 Fluid leak detection system, fluid leak detection device, design support system, design support device, and learning device
CN112889089B (en) * 2018-10-19 2024-03-05 克莱米特有限责任公司 Machine learning techniques for identifying clouds and cloud shadows in satellite imagery
JP7386136B2 (en) * 2020-07-03 2023-11-24 株式会社日立製作所 Cloud height measurement device, measurement point determination method, and cloud type determination method
CN112083453B (en) * 2020-09-15 2022-03-04 中南大学 Troposphere chromatography method related to water vapor space-time parameters

Similar Documents

Publication Publication Date Title
US7733342B2 (en) Method of extracting 3D building information using shadow analysis
JP7134012B2 (en) Parallax estimation device and method
De Franchis et al. An automatic and modular stereo pipeline for pushbroom images
JP4572240B2 (en) Mobile robot and mobile robot position recognition method
WO2017080102A1 (en) Flying device, flying control system and method
US20170006240A1 (en) High-resolution camera unit for a drone, with correction of the wobble-type distortions
CN105300362B (en) A kind of photogrammetric survey method applied to RTK receiver
JP6594180B2 (en) IMAGING DEVICE, IMAGING DEVICE CONTROL METHOD, AND PROGRAM
CN104482924B (en) Body of revolution object pose vision measuring method
De Franchis et al. On stereo-rectification of pushbroom images
CN109099889B (en) Close-range photogrammetry system and method
CN104599281B (en) A kind of based on the conforming panorama sketch in horizontal linear orientation and remote sensing figure method for registering
GB2603715A (en) Depth estimation using a neural network
CN111750896B (en) Holder calibration method and device, electronic equipment and storage medium
JP2010113043A5 (en)
Ahn et al. Shoreline change monitoring using high resolution digital photogrammetric technique
JPWO2023175735A5 (en)
KR101459522B1 (en) Location Correction Method Using Additional Information of Mobile Instrument
CN110163896B (en) SAR image matching method
JPWO2023175734A5 (en)
CN115950435A (en) Real-time positioning method for unmanned aerial vehicle inspection image
WO2016151730A1 (en) Image correction device and image correction method
JP6739367B2 (en) Camera device
JPH075188A (en) Current measuring equipment
JP5465001B2 (en) Target estimation device