JP2004192231A - Fishing ground forecast information service method and service system - Google Patents

Fishing ground forecast information service method and service system Download PDF

Info

Publication number
JP2004192231A
JP2004192231A JP2002358140A JP2002358140A JP2004192231A JP 2004192231 A JP2004192231 A JP 2004192231A JP 2002358140 A JP2002358140 A JP 2002358140A JP 2002358140 A JP2002358140 A JP 2002358140A JP 2004192231 A JP2004192231 A JP 2004192231A
Authority
JP
Japan
Prior art keywords
fishing
information
surface temperature
sea surface
rich
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.)
Pending
Application number
JP2002358140A
Other languages
Japanese (ja)
Inventor
Kiyoshi Terao
清 寺尾
Hiroyuki Suzuki
博之 鈴木
Junichi Nakahata
潤一 中畑
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hitachi Ltd
Hitachi Information and Control Systems Inc
Original Assignee
Hitachi Ltd
Hitachi Information and Control Systems Inc
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hitachi Ltd, Hitachi Information and Control Systems Inc filed Critical Hitachi Ltd
Priority to JP2002358140A priority Critical patent/JP2004192231A/en
Publication of JP2004192231A publication Critical patent/JP2004192231A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A40/00Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
    • Y02A40/80Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in fisheries management

Landscapes

  • Mechanical Means For Catching Fish (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Image Analysis (AREA)

Abstract

<P>PROBLEM TO BE SOLVED: To provide a fishing ground forecast information service method and a service system by which the precision of a fishing ground forecast is enhanced. <P>SOLUTION: The temperature distribution patterns of bumper fish crop are extracted and accumulated by seasons, fishing divisions and fish kinds from a past sea surface temperature distribution map and a fishing information corresponding thereto. Then, the matching processing of the bumper fish crop patterns whose time and fishing divisions are compatible is executed with respect to the latest sea surface temperature distribution map so that much more speedy and accurate fishing grounds can be forecast according to the fishing site information. Thus, it is possible to extract unknown fishing grounds. <P>COPYRIGHT: (C)2004,JPO&NCIPI

Description

【0001】
【発明の属する技術分野】
本発明は、漁場予測情報サービス方法及びサービスシステムに係り、特に、地球観測衛星面像を使用した漁場予測情報サービス方法及びサービスシステムに関する。
【0002】
【従来の技術】
一般に、海面の水温分布を示す海面温度図は、漁場決定のために利用して有用なものである。この種の海面温度図作成に関する従来技術として、例えば、特許文献1に記載された技術が知られている。この従来技術は、人工衛星からの衛星画像を用い、雲域による雑音域画素を除去し、誤差の小さい海面の海面温度図を作成するというものである。また、人工衛星からの衛星画像を用い、複数の画像組み合わせによる雲域除去を可能とした海況図の作成に関する技術が、例えば、特許文献2に記載されて知られている。
【0003】
【特許文献1】
特開2001−283189号公報
【0004】
【特許文献2】
特開2000−113175号公報
【0005】
【発明が解決しようとする課題】
前述した漁海況図作成システムを用いる従来技術は、衛星画像から作成した海面温度図と漁場現場から随時入手した漁業情報から専門家が経験を基に人手で漁業予測図を作成、配布していた。このため、前述の従来技術は、漁業予測情報が現場に届くまで時間が掛かり現実の漁業現場との間にアンマッチが生じ、最新の海面温度図を漁業予測に生かしきれていなかったという問題点を有している。
【0006】
本発明の目的は、前述した従来技術の問題点を解決し、漁場予測の精度を向上させた漁場予測情報サービス方法及びサービスシステムを提供することにある。
【0007】
【課題を解決するための手段】
本発明によれば前記目的は、過去の海面温度図と、対応する豊漁時の漁場情報とから季節、漁業区画、魚種別に豊漁パターン画像を抽出し、抽出した豊漁パターン画像を使用して、最新の海面温度図及び最新の漁場情報から漁場を予測し、漁業現場へ予測情報を配信することにより達成される。
【0008】
また、前記目的は、撮影位置、撮影日時などの付属情報を含む海面温度図を入力する手段と、漁獲日時、魚種、漁獲量、漁獲位置、漁法、実測海面温度を含む漁業現場情報をデータ受信する手段と、中央処理装置に取り込んだ海面温度図、漁業現場情報等の履歴情報及び豊漁パターンを記憶する手段と、豊漁時の漁業現場情報と対応する海面温度図から豊漁漁場周辺画像と付属情報の豊漁パターン画像とを抽出する手段と、豊漁パターン画像を使用して、最新の海面温度図から魚種、漁業区画、漁法にあった漁場を予測する編集手段と、漁場予測情報を漁場現場へ配信する手段とを備えることにより達成される。
【0009】
【発明の実施の形態】
以下、本発明による漁場予測情報サービス方法及びサービスシステムの実施形態を図面により詳細に説明する。
【0010】
図1は本発明の一実施形態による漁場予測情報サービスシステムの構成を示すブロック図である。図1において、1は中央処理装置、2は外部記憶装置、3は漁場現場、4は地球観測衛星、5は画像処理システム、11は海面温度図入力機能部、12は履歴情報管理機能部、13はデータ受信機能部、14は豊漁パターン抽出機能部、15はデータ配信機能部、16は漁場予測編集機能部、21は履歴情報、22は豊漁パターン情報、31は漁船、32は漁協、33は調査船である。図1に示す本発明の実施形態は、魚が魚種、漁区、季節、温度により同一の行動パターンをとることを利用して、過去の海面温度図と対応する豊漁時の漁業現場情報とから豊漁パターン画像を抽出し、最新の温度分布図に対して同様の豊漁パターンを持つ個所を抽出して漁場予測を行うものである。
【0011】
この漁場予測情報サービスシステムは、過去の海面温度図と対応する漁業現場情報から豊漁パターンを抽出し、かつ最新の海面温度図から豊漁パターンを使用して漁場予測情報を作成し、漁船31、漁協32、調査船33といった漁場現場3へ予報データを配信する中央処理装置1と、過去の海面温度図及び漁獲日時、魚種、漁獲量、漁獲位置、漁法、実測海面温度などの漁業現場情報といった履歴情報21と履歴情報から抽出した豊漁パターン情報22を記憶する外部記憶装置2と、現実の漁業情報を報告する漁船31、漁協32、調査船33等などの漁場現場(漁業環境)3と、地球表面の温度を測定するセンサを備えた地球観測衛星4と、地球観測衛星から送られた観測画像を地図補正し海面温度図を作成する画像処理システム5(別システム)とから構成される。
【0012】
中央処理装置1は、地図補正した海面温度図をシステム内に取り込む海面温度図入力機能11及び、漁船31、漁協32、調査船33等の漁業現場情報を受信するデータ受信機能13、海面温度図と漁業環場情報を保存する履歴情報管理機能12、履歴情報から豊漁パターン画像を抽出する豊漁パターン抽出機能14、抽出した豊漁パターン情報22を使用して最新の海面温度図から豊漁位置を抽出し、最新の対応する漁業現場情報と合わせて漁業予測情報を編集する漁業予測編集機能16、漁場予測情報を前述の漁業現場3へ配信するデータ配信機能15を備える。
【0013】
外部記憶装置2は、海面温度図とその撮影位置、受信日時などの付随情報、及び、漁獲日時、魚種、漁獲量、漁獲位置(緯度経度)、漁法、実測水温といった漁場現場情報を蓄積する履歴情報21、豊漁時の海域周辺の豊漁パターン画像とその漁獲日時、魚種、漁獲量、漁獲位置、漁法、実測水温といった付属情報を含む豊漁パターン情報22を備える。
【0014】
漁場現場3は、実際の漁場現場にいる漁船31と、漁船31からの情報を中継する漁協32、政府等の研究機関から派遣された漁獲量等の調査船33等を備える。
【0015】
地球観測衛星4は、地球表面の温度を測定するセンサーと撮影した画像を地球へ配信する機能とを備える。
【0016】
画像処理システム5(別システム)は、前述の地球観測衛星4からの地球表面温度画像を受信して必要な地図情報に補正すると共に、海面温度図を作成する機能を備える。
【0017】
図2は豊漁パターン抽出による漁場予測情報サービスの処理動作を説明するフローチャートであり、次に、これについて説明する。
【0018】
(1)中央処理装置1は、事前処理として、履歴情報となる海面温度図と漁業現場情報とを逐次システムに入力する(ステップSl〜S2)。
【0019】
(2)中央処理装置1は、入力した海面温度図と漁業現場情報とを履歴情報として逐次外部記憶装置2へ格納する(ステップS3〜S4)。
【0020】
(3)次に、中央処理装置1は、前述の履歴情報から豊漁であった情報を選び出し、それに対応する日時、場所の海面温度図から豊漁漁場周辺の豊漁パターン画像を抽出する。そして、抽出した豊漁パターン画像を漁獲日時、魚種、漁獲量、漁獲位置、漁法等の付属情報により分類して保存する(ステップS5、S6)。
【0021】
(4)次に、漁場予測処理として、中央処理装置1は、海面温度図が入力された時点で前述の豊漁パターンを使用して漁場のパターンマッチング処理を実施し豊漁漁場を抽出する。また、関連情報として、撮影時刻とマッチした漁場情報(魚種、漁法等)を海面温度図に貼り付けて漁場予測情報を編集する(ステップS7)。
【0022】
(5)ステップS7の処理で作成した漁業予測情報は、予め設定しておいた漁船、漁協、調査船等の漁業現場3へ配信する(ステップS8)。
【0023】
図3は豊漁パターン抽出の概念を説明する図、図4は豊漁パターンの抽出の処理を説明するフローチャートであり、次に、図3に示す概念図、図4に示すフローを参照しながら豊漁パターンの抽出方法について説明する。
【0024】
(1)履歴情報として蓄積していた漁業現場情報211より対象魚種の漁獲量の多いレコードを抽出する。漁業現場情報211は、図3に示すように、漁獲日時(季節情報を含む)、魚種、漁獲量、漁獲位置、漁法及び水温を1つの組とした複数のレコードから構成され、ここでの処理では、この中から対象魚種の漁獲量の多いレコードを抽出する(ステップS51)。
【0025】
(2)ステップS51で抽出した漁業現場情報の漁獲日時に撮影時刻が最も近い海面温度図212を履歴情報から抽出する。海面温度図212は、図3に示すように、漁場を含む広い海域の温度分布を色の変化により表現した図であり、多数の海面温度図には、それぞれの撮影日時が記されている(ステップS52)。
【0026】
(3)ステップS52で抽出した海面温度図212に、ステップ51で抽出した漁業現場情報をプロットして、図3に示すような魚種別の漁業現場情報プロット画像141を作成する。このプロット画像は、抽出した海面温度図212上に、魚種を示すマークを漁獲位置にプロットしたものとなる(ステップS53)。
【0027】
(4)次に、漁業現場情報プロット画像141より魚種別に漁場の集中している海域画像を切り出し、図3に示すような魚種別豊漁パターン原画像142として対象現場情報と共に豊漁パターン原画像データベース221へ蓄積する(ステップS54、S55)。
【0028】
(5)豊漁パターン原画像データベース221へ蓄積した同一魚種の豊漁パターン原画像142から共通情報を抽出して魚種別豊漁パターン画像222として登録する。この魚種別豊漁パターン画像222は、豊漁が期待できる魚種毎の海面温度分布のパターンとなる(ステップS56)。
【0029】
魚種別豊漁パターンを抽出するに当たっては気を付けるポイントが2つある。1つ目のポイントは、いかに精度の高い漁業現場情報、海面温度図を抽出するかという点にある。漁業現場情報としてもっとも信憑性が高いのは、調査船の情報であるが、この情報は、情報数が極端に少ない。また、漁協からの情報は、漁業現場としては二次情報であるので、精度が落ちることが考えられる。結局、現場の漁船の情報を最もよく使用するが、精度は漁船(報告者)により大きく異なることを考慮しなければならない。正確な報告者を早く抽出することが大切なポイントである。衛星画像に基づいた海面温度図は、衛星画像共通の問題である雲域、霧域下についての情報を得られておらず、また、正確な情報が得られないことが挙げられる。従って、本発明においては、漁業現場情報のプロット後にそのポイントが雲域であった場合、どんなに豊漁のポイントであっても、そのポイントを除去することとする。
【0030】
2つ目のポイントは、漁業現場情報プロット画像から切り出す豊漁パターン原画像の領域をどの程度の範囲に設定するかという点にある。領域が広すぎては、抽出パターンの種類が多すぎて豊漁時のパターンを特定できないし、逆に領域が狭すぎてはどんな場所でも豊漁域と認識してしまう可能性がある。従って、本発明においては、海洋における魚の行動特性と衝星画像の解像度とを鑑みて調整していくことが肝要である。
【0031】
そして、本発明の実施形態は、魚が魚種、漁区、季節、温度により同一の行動パターンをとることを利用して、中央処理装置1が、過去の豊漁情報から抽出した豊漁パターン画像を使用して、最新の海面温度図内の豊漁パターンに合致する場所を見つけ出すことにより豊漁漁場を抽出し、最新の漁業現場情報と合せて、より精度の高い漁場予測を行うことができ、漁業関係者へより精度の高い漁業予測情報を配信すると共に、全く新しい漁場を開拓する可能性を与える。
【0032】
【発明の効果】
以上説明したように本発明によれば、漁場予測の精度を向上させことができ、漁業関係者へより精度の高い漁業予測情報を配信することができる。
【図面の簡単な説明】
【図1】本発明の一実施形態による漁場予測情報サービスシステムの構成を示すブロック図である。
【図2】豊漁パターン抽出による漁場予測情報サービスの処理動作を説明するフローチャートである。
【図3】豊漁パターン抽出の概念を説明する図である。
【図4】豊漁パターンの抽出の処理を説明するフローチャートである。
【符号の説明】
1 中央処理装置
2 外部記憶装置
3 漁場現場
4 地球観測衛星
5 画像処理システム
11 海面温度図入力機能部
12 履歴情報管理機能部
13 データ受信機能部
14 豊漁パターン抽出機能部
15 データ配信機能部
16 漁場予測編集機能部
21 履歴情報
22 豊漁パターン情報
31 漁船
32 漁協
33 調査船
[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a fishing ground prediction information service method and service system, and more particularly to a fishing ground prediction information service method and service system using an earth observation satellite surface image.
[0002]
[Prior art]
Generally, a sea surface temperature chart showing the water temperature distribution on the sea surface is useful for determining a fishing ground. As a conventional technique relating to this kind of sea surface temperature chart creation, for example, a technique described in Patent Document 1 is known. This prior art uses a satellite image from an artificial satellite to remove noise area pixels due to cloud areas and create a sea surface temperature map of the sea surface with a small error. Further, a technology relating to the creation of a sea chart that enables cloud area removal by combining a plurality of images using satellite images from artificial satellites is known, for example, as described in Patent Document 2.
[0003]
[Patent Document 1]
JP 2001-283189 A
[Patent Document 2]
JP 2000-11175 A
[Problems to be solved by the invention]
In the conventional technology using the above-mentioned fishing sea condition chart creation system, experts created and distributed fishery forecast maps based on experience from experts on sea surface temperature maps created from satellite images and fishery information obtained from the fishing grounds as needed. . For this reason, the conventional technology described above has a problem in that it takes time until the fishery forecast information reaches the site, and an unmatch occurs with the actual fishery site, and the latest sea surface temperature map has not been fully utilized in the fishery forecast. Have.
[0006]
An object of the present invention is to provide a fishing ground prediction information service method and service system that solves the above-described problems of the conventional technology and improves the accuracy of fishing ground prediction.
[0007]
[Means for Solving the Problems]
According to the present invention, the object is to extract a rich fishing pattern image for a season, a fishery section, and a fish type from the past sea surface temperature map and the corresponding fishing ground information at the time of rich fishing, using the extracted rich fishing pattern image, This is achieved by predicting fishing grounds from the latest sea surface temperature maps and the latest fishing ground information, and distributing the prediction information to fishing sites.
[0008]
In addition, the object is to input a sea surface temperature map including auxiliary information such as a shooting position and a shooting date and time, and to collect fishing date and time, a fish species, a catch amount, a fishing position, a fishing method, and a fishing site information including an actual measured sea surface temperature. Means for receiving, means for storing history information such as sea surface temperature map, fishery site information, etc. imported into the central processing unit, and rich fishing patterns, and images of the surroundings of the rich fishing ground from the sea surface temperature map corresponding to the fishery site information at the time of rich fishing A means for extracting a rich fishing pattern image of information, an editing means for predicting a fishing ground according to a fish type, a fishing zone, and a fishing method from the latest sea surface temperature map using the rich fishing pattern image, and a fishing ground prediction information for a fishing ground. Means for delivering to
[0009]
BEST MODE FOR CARRYING OUT THE INVENTION
Hereinafter, an embodiment of a fishing ground prediction information service method and a service system according to the present invention will be described in detail with reference to the drawings.
[0010]
FIG. 1 is a block diagram showing a configuration of a fishing ground prediction information service system according to an embodiment of the present invention. In FIG. 1, 1 is a central processing unit, 2 is an external storage device, 3 is a fishing ground, 4 is an earth observation satellite, 5 is an image processing system, 11 is a sea surface temperature map input function unit, 12 is a history information management function unit, 13 is a data receiving function unit, 14 is a rich fishing pattern extraction function unit, 15 is a data distribution function unit, 16 is a fishing ground prediction editing function unit, 21 is history information, 22 is rich fishing pattern information, 31 is a fishing boat, 32 is a fishing cooperative, 33 Is a research ship. The embodiment of the present invention shown in FIG. 1 utilizes the fact that fish take the same behavior pattern depending on the fish species, fishing area, season, and temperature, and uses the past sea surface temperature chart and the corresponding , A fishing pattern image is extracted from the map, and a portion having a similar fishing pattern is extracted from the latest temperature distribution map to predict a fishing ground.
[0011]
This fishing ground prediction information service system extracts a fishing pattern from the past sea surface temperature map and the corresponding fishery site information, and creates fishing ground prediction information using the fishing pattern from the latest sea surface temperature map. 32, a central processing unit 1 that distributes forecast data to a fishing ground 3 such as a research boat 33, and a fishing surface information such as a past sea surface temperature map and a fishing date, a fish species, a catch amount, a fishing position, a fishing method, and a measured sea surface temperature. An external storage device 2 for storing the history information 21 and the rich fishing pattern information 22 extracted from the history information, a fishing ground site (fishing environment) 3, such as a fishing boat 31, a fishing cooperative 32, a research boat 33, etc., for reporting actual fishing information; An earth observation satellite 4 equipped with a sensor for measuring the temperature of the earth's surface, and an image processing system 5 for correcting a map of an observation image sent from the earth observation satellite and creating a sea surface temperature map (separately) Made from the stem).
[0012]
The central processing unit 1 has a sea surface temperature map input function 11 for taking in a map-corrected sea surface temperature map into the system, a data receiving function 13 for receiving fishery site information of a fishing boat 31, a fishing cooperative 32, a research boat 33, etc., a sea surface temperature map. And a history information management function 12 for storing fishing environment information, a rich fishing pattern extraction function 14 for extracting a rich fishing pattern image from the history information, and a rich fishing position extracted from the latest sea surface temperature map using the extracted rich fishing pattern information 22. A fishery prediction editing function 16 for editing the fishery prediction information together with the latest corresponding fishery site information, and a data distribution function 15 for distributing the fishery prediction information to the aforementioned fishery site 3.
[0013]
The external storage device 2 accumulates accompanying information such as a sea surface temperature map and its photographing position, reception date and time, and fishing ground site information such as a catch date and time, a fish species, a catch amount, a catch position (latitude and longitude), a fishing method, and an actually measured water temperature. It has a history information 21 and a rich fishing pattern image 22 including additional information such as a rich fishing pattern image around the sea area at the time of heavy fishing and its catch date, fish species, catch amount, catch position, fishing method, and measured water temperature.
[0014]
The fishing ground 3 is provided with a fishing boat 31 at an actual fishing ground, a fishing cooperative 32 that relays information from the fishing boat 31, a research boat 33 for catches and the like dispatched from research institutions such as the government, and the like.
[0015]
The earth observation satellite 4 has a sensor for measuring the temperature of the earth's surface and a function of delivering a captured image to the earth.
[0016]
The image processing system 5 (another system) has a function of receiving the earth surface temperature image from the earth observation satellite 4 described above, correcting it to necessary map information, and creating a sea surface temperature map.
[0017]
FIG. 2 is a flowchart for explaining the processing operation of the fishing ground prediction information service based on the extraction of a good fishing pattern, which will be described next.
[0018]
(1) As a preliminary process, the central processing unit 1 sequentially inputs a sea surface temperature map and fishery site information as history information to the system (steps S1 to S2).
[0019]
(2) The central processing unit 1 sequentially stores the input sea surface temperature map and fishery site information as history information in the external storage device 2 (steps S3 to S4).
[0020]
(3) Next, the central processing unit 1 selects information that has been abundant from the above-mentioned history information, and extracts a rich fishing pattern image around the abundant fishing ground from the corresponding date, time, and location sea surface temperature map. Then, the extracted rich fishing pattern images are classified and stored according to the attached information such as the date and time of catch, fish species, catch amount, catch position, and fishing method (steps S5 and S6).
[0021]
(4) Next, as a fishing ground prediction process, the central processing unit 1 executes a pattern matching process of the fishing ground using the above-mentioned rich fishing pattern at the time when the sea surface temperature chart is input, and extracts a rich fishing ground. As related information, fishing ground information (fish species, fishing method, etc.) matching the shooting time is pasted on the sea surface temperature map to edit the fishing ground prediction information (step S7).
[0022]
(5) The fishery forecast information created in the process of step S7 is distributed to the fishery sites 3 such as fishing boats, fishing cooperatives, and research boats that have been set in advance (step S8).
[0023]
FIG. 3 is a diagram for explaining the concept of the rich fishing pattern extraction, and FIG. 4 is a flowchart for explaining the process of extracting the rich fishing pattern. Next, referring to the conceptual diagram shown in FIG. 3 and the flow shown in FIG. The extraction method will be described.
[0024]
(1) A record with a large catch of the target fish species is extracted from the fishery site information 211 stored as history information. As shown in FIG. 3, the fishery site information 211 is composed of a plurality of records in which a set of a catch date (including seasonal information), a fish species, a catch amount, a catch position, a fishing method, and a water temperature are set. In the processing, a record having a large catch amount of the target fish species is extracted from among them (step S51).
[0025]
(2) The sea surface temperature map 212 whose shooting time is closest to the catch date and time of the fishery site information extracted in step S51 is extracted from the history information. As shown in FIG. 3, the sea surface temperature map 212 is a diagram in which the temperature distribution of a wide sea area including a fishing ground is represented by a change in color. Step S52).
[0026]
(3) The fishery site information extracted in step 51 is plotted on the sea surface temperature map 212 extracted in step S52, and a fishery site information plot image 141 of the fish type as shown in FIG. 3 is created. This plot image is obtained by plotting a mark indicating a fish type at the catch position on the extracted sea surface temperature map 212 (step S53).
[0027]
(4) Next, a sea area image in which fishing grounds are concentrated by fish type is cut out from the fishery site information plot image 141, and a high-fishing pattern original image database together with target site information as a fish-type rich fishing pattern original image 142 as shown in FIG. 221 (steps S54 and S55).
[0028]
(5) Common information is extracted from the rich fishing pattern original image 142 of the same fish type stored in the rich fishing pattern original image database 221 and registered as the fish type rich fishing pattern image 222. The fish type rich fishing pattern image 222 is a pattern of the sea surface temperature distribution for each fish type that can be expected to be rich (step S56).
[0029]
There are two points to be aware of when extracting a good fishing pattern by fish type. The first point is how to extract highly accurate fishery spot information and sea surface temperature maps. The most credible fishery site information is the information on research vessels, but this information is extremely small. In addition, since the information from the fishery cooperative is secondary information for the fishery site, the accuracy may be reduced. Ultimately, the information on the fishing boats on site is used most often, but it must be taken into account that the accuracy varies greatly between fishing boats (reporters). It is important to extract accurate reporters quickly. The sea surface temperature map based on the satellite image does not obtain information on the cloud area and the fog area, which are common problems of the satellite image, and also fails to obtain accurate information. Therefore, in the present invention, if the point is a cloud area after plotting the fishery spot information, the point is removed no matter how rich the point is.
[0030]
The second point lies in how much the area of the original image of the rich fishing pattern cut out from the fishery spot information plot image is set. If the area is too wide, there are too many types of extraction patterns to specify the pattern at the time of rich fishing. Conversely, if the area is too narrow, any place may be recognized as a good fishing area. Therefore, in the present invention, it is important to make adjustments in consideration of the behavioral characteristics of fish in the ocean and the resolution of the star image.
[0031]
The embodiment of the present invention uses the fact that the fish takes the same behavior pattern depending on the fish species, fishing area, season, and temperature, and the central processing unit 1 extracts the rich fishing pattern image extracted from the past rich fishing information. By using the latest sea surface temperature maps to find locations that match the rich fishing patterns, we can extract rich fishing grounds and combine them with the latest fishery spot information to make more accurate fishing ground predictions. Distribution of more accurate fishery forecast information to the fishermen, and the possibility of developing a completely new fishing ground.
[0032]
【The invention's effect】
As described above, according to the present invention, the accuracy of fishing ground prediction can be improved, and more accurate fishery prediction information can be distributed to fishery officials.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a configuration of a fishing ground prediction information service system according to an embodiment of the present invention.
FIG. 2 is a flowchart illustrating a processing operation of a fishing ground prediction information service by extracting a rich fishing pattern.
FIG. 3 is a diagram for explaining the concept of rich fishing pattern extraction.
FIG. 4 is a flowchart illustrating a process of extracting a good fishing pattern.
[Explanation of symbols]
REFERENCE SIGNS LIST 1 central processing unit 2 external storage device 3 fishing ground 4 earth observation satellite 5 image processing system 11 sea surface temperature map input function unit 12 history information management function unit 13 data reception function unit 14 rich fishing pattern extraction function unit 15 data distribution function unit 16 fishing ground Prediction editing function section 21 History information 22 Rich fishing pattern information 31 Fishing boat 32 Fishing cooperative 33 Survey boat

Claims (4)

過去の海面温度図と、対応する豊漁時の漁場情報とから季節、漁業区画、魚種別に豊漁パターン画像を抽出し、抽出した豊漁パターン画像を使用して、最新の海面温度図及び最新の漁場情報から漁場を予測し、漁業現場へ予測情報を配信することを特徴とする漁場予測情報サービス方法。From the past sea surface temperature map and the corresponding fishing ground information at the time of high fishing, extract the rich fishing pattern image for the season, fishery division and fish type, and use the extracted rich fishing pattern image to update the latest sea surface temperature map and the latest fishing ground A fishing ground prediction information service method, which predicts a fishing ground from information and distributes the prediction information to a fishery site. 前記漁場の予測は、前記豊漁パターン画像と前記最新の海面温度図とのパターンマッチングによりマッチングが得られた場所を予測漁場とすることを特徴とする請求項1記載の漁場予測情報サービス方法。2. The fishing ground prediction information service method according to claim 1, wherein the prediction of the fishing ground includes, as a predicted fishing ground, a location where matching is obtained by pattern matching between the rich fishing pattern image and the latest sea surface temperature map. 3. 撮影位置、撮影日時などの付属情報を含む海面温度図を入力する手段と、漁獲日時、魚種、漁獲量、漁獲位置、漁法、実測海面温度を含む漁業現場情報をデータ受信する手段と、中央処理装置に取り込んだ海面温度図、漁業現場情報等の履歴情報及び豊漁パターンを記憶する手段と、豊漁時の漁業現場情報と対応する海面温度図から豊漁漁場周辺画像と付属情報の豊漁パターン画像とを抽出する手段と、豊漁パターン画像を使用して、最新の海面温度図から魚種、漁業区画、漁法にあった漁場を予測する編集手段と、漁場予測情報を漁場現場へ配信する手段とを備えることを特徴とする漁場予測情報サービスシステム。A means for inputting a sea surface temperature map including auxiliary information such as a shooting position and a shooting date and time; a means for receiving data on fishery site information including a fishing date and time, a fish species, a catch amount, a fishing position, a fishing method, and a measured sea surface temperature; Means to store the sea surface temperature map, history information such as fishery spot information, etc. taken into the processing device and the rich fishing pattern, and from the sea surface temperature map corresponding to the fishery spot information at the time of rich fishing and the rich fishing pattern image of the surroundings of the rich fishing ground and the accompanying information Means for extracting fishing grounds from the latest sea surface temperature map using the abundant fishing pattern image, and means for predicting fishing grounds that match the fishing method, and means for distributing fishing ground prediction information to the fishing grounds. A fishing ground prediction information service system comprising: 前記編集手段は、前記豊漁パターン画像と前記最新の海面温度図とのパターンマッチングによりマッチングが得られた場所を漁場として予測することを特徴とする請求項3記載の漁場予測情報サービスシステム。4. The fishing ground prediction information service system according to claim 3, wherein the editing unit predicts, as a fishing ground, a place where matching is obtained by pattern matching between the rich fishing pattern image and the latest sea surface temperature map. 5.
JP2002358140A 2002-12-10 2002-12-10 Fishing ground forecast information service method and service system Pending JP2004192231A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2002358140A JP2004192231A (en) 2002-12-10 2002-12-10 Fishing ground forecast information service method and service system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP2002358140A JP2004192231A (en) 2002-12-10 2002-12-10 Fishing ground forecast information service method and service system

Publications (1)

Publication Number Publication Date
JP2004192231A true JP2004192231A (en) 2004-07-08

Family

ID=32757946

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2002358140A Pending JP2004192231A (en) 2002-12-10 2002-12-10 Fishing ground forecast information service method and service system

Country Status (1)

Country Link
JP (1) JP2004192231A (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006158239A (en) * 2004-12-03 2006-06-22 Kiyoshi Ito Fishery forecasting device and oceanic condition forecasting device
JP2006320203A (en) * 2005-05-17 2006-11-30 Mori Kikai Seisakusho:Kk Fish farming-supporting system
EP1864572A1 (en) * 2005-03-28 2007-12-12 National University Corporation Tokyo University of Marine Science and Technology Method for predicting depth distribution of predetermined water temperature zone, method for predicting fishing ground of migratory fish, and system for delivering fishing ground prediction information of migratory fish
JP2008225614A (en) * 2007-03-09 2008-09-25 Fujitsu Ltd Method, processor, processing program, and processing system for processing fishery certification
CN104236552A (en) * 2014-09-30 2014-12-24 金华雅奇电子科技有限公司 Intelligent fishing map system
CN106443686A (en) * 2016-10-20 2017-02-22 上海海洋大学 Sonar fish shoal detection system
KR101836813B1 (en) 2017-06-27 2018-03-12 대한민국 Prediction model for fishing condition and method thereof
CN109767040A (en) * 2019-01-15 2019-05-17 上海海洋大学 Saury cental fishing ground prediction technique based on habitat suitability index
WO2020196543A1 (en) * 2019-03-26 2020-10-01 オーシャンソリューションテクノロジー株式会社 Fishing ground information provision device, and fishery information provision program
US11793185B2 (en) * 2020-01-29 2023-10-24 Charles Christopher Gierke Real-time fish movement and location guide

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006158239A (en) * 2004-12-03 2006-06-22 Kiyoshi Ito Fishery forecasting device and oceanic condition forecasting device
EP1864572A1 (en) * 2005-03-28 2007-12-12 National University Corporation Tokyo University of Marine Science and Technology Method for predicting depth distribution of predetermined water temperature zone, method for predicting fishing ground of migratory fish, and system for delivering fishing ground prediction information of migratory fish
US7818280B2 (en) 2005-03-28 2010-10-19 National University Corporation Tokyo University Of Marine Science And Technology Method for predicting depth distribution of predetermined water temperature zone, method and system for delivering fishing ground prediction information of migratory fish
EP1864572A4 (en) * 2005-03-28 2010-12-22 Univ Tokyo Nat Univ Corp Method for predicting depth distribution of predetermined water temperature zone, method for predicting fishing ground of migratory fish, and system for delivering fishing ground prediction information of migratory fish
JP4923262B2 (en) * 2005-03-28 2012-04-25 国立大学法人東京海洋大学 Depth distribution prediction method for predetermined water temperature range, migratory fish fishing ground prediction method, and migratory fish fishing ground prediction information distribution system
JP2006320203A (en) * 2005-05-17 2006-11-30 Mori Kikai Seisakusho:Kk Fish farming-supporting system
JP2008225614A (en) * 2007-03-09 2008-09-25 Fujitsu Ltd Method, processor, processing program, and processing system for processing fishery certification
CN104236552A (en) * 2014-09-30 2014-12-24 金华雅奇电子科技有限公司 Intelligent fishing map system
CN106443686A (en) * 2016-10-20 2017-02-22 上海海洋大学 Sonar fish shoal detection system
KR101836813B1 (en) 2017-06-27 2018-03-12 대한민국 Prediction model for fishing condition and method thereof
CN109767040A (en) * 2019-01-15 2019-05-17 上海海洋大学 Saury cental fishing ground prediction technique based on habitat suitability index
CN109767040B (en) * 2019-01-15 2023-09-15 上海海洋大学 Prediction method for central fishing ground of pacific saury based on habitat index
WO2020196543A1 (en) * 2019-03-26 2020-10-01 オーシャンソリューションテクノロジー株式会社 Fishing ground information provision device, and fishery information provision program
JP2020160749A (en) * 2019-03-26 2020-10-01 オーシャンソリューションテクノロジー株式会社 Fishing ground information provision device and fishing ground information provision program
JP7251777B2 (en) 2019-03-26 2023-04-04 オーシャンソリューションテクノロジー株式会社 Fishing ground information provision device and fishery information provision program
US11793185B2 (en) * 2020-01-29 2023-10-24 Charles Christopher Gierke Real-time fish movement and location guide

Similar Documents

Publication Publication Date Title
US9367565B2 (en) Polygon creation for an aquatic geographic information system
Rajmohan et al. Revamping land coverage analysis using aerial satellite image mapping
Maxwell et al. A multi‐scale segmentation approach to filling gaps in Landsat ETM+ SLC‐off images
US10852444B2 (en) Accounting for atmospheric and terrestrial obstacles in geographic positioning
US7035765B2 (en) Disaster predicting method, disaster predicting apparatus, disaster predicting program, and computer-readable recording medium recorded with disaster predicting program
JP4849797B2 (en) Fishing ground prediction device
CN101685539B (en) On-line ortho-rectification method and system for remote sensing image
Lamsters et al. High-resolution orthophoto map and digital surface models of the largest Argentine Islands (the Antarctic) from unmanned aerial vehicle photogrammetry
JP5366190B2 (en) BUILDING CHANGE DETECTION DEVICE, BUILDING CHANGE DETECTION METHOD, AND PROGRAM
JP2004192231A (en) Fishing ground forecast information service method and service system
CN110108257B (en) Display method based on matching of aerial images of unmanned aerial vehicle and static planning map
WO2017081327A1 (en) Method and system for processing image data
CN110440804A (en) Intelligent navigation method suitable for polar region ice navigation
Ahmed et al. Extending airborne lidar-derived estimates of forest canopy cover and height over large areas using knn with landsat time series data
JP2007279930A (en) Image processing program and image processor
US20200140045A1 (en) Dynamic Maps for Bodies of Water
Jaramillo et al. Subpixel satellite-derived shorelines as valuable data for equilibrium shoreline evolution models
KR102132488B1 (en) The System for Providing High Density Depth of Water Information Based on Cloud Sourcing and The Method of Supposing Depth of Water Observed Position and Depth of Water Information Using The System for Providing High Density Depth of Water Information
US20240062461A1 (en) Method and system for producing a digital terrain model
JP2007257297A (en) Fishing ground prediction system
Chen et al. MMSeaIce: Multi-task mapping of sea ice parameters from AI4Arctic Sea Ice Challenge Dataset
JP2020060496A (en) Information processing device
Pratomo et al. INTEGRATION OF WEATHER INFORMATION SYSTEMS AND THE POTENTIAL OF FISH SPREAD WITH VESSEL MONITORING SYSTEMS ON FISHING VESSELS
JP7346979B2 (en) tagging device
US11854258B1 (en) Enhanced river gauge

Legal Events

Date Code Title Description
A621 Written request for application examination

Free format text: JAPANESE INTERMEDIATE CODE: A621

Effective date: 20041210

A131 Notification of reasons for refusal

Free format text: JAPANESE INTERMEDIATE CODE: A131

Effective date: 20070626

A02 Decision of refusal

Free format text: JAPANESE INTERMEDIATE CODE: A02

Effective date: 20071023