CN112069947A - Fruit forest grain number statistical system based on density analysis - Google Patents
Fruit forest grain number statistical system based on density analysis Download PDFInfo
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- CN112069947A CN112069947A CN202010865237.1A CN202010865237A CN112069947A CN 112069947 A CN112069947 A CN 112069947A CN 202010865237 A CN202010865237 A CN 202010865237A CN 112069947 A CN112069947 A CN 112069947A
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- transfer station
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- 235000013399 edible fruits Nutrition 0.000 title claims abstract description 47
- 230000010365 information processing Effects 0.000 claims abstract description 19
- 238000003384 imaging method Methods 0.000 claims description 15
- 238000000605 extraction Methods 0.000 claims description 6
- 230000002708 enhancing effect Effects 0.000 claims description 3
- 239000000126 substance Substances 0.000 claims description 3
- 238000000034 method Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000005034 decoration Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
- G06V20/188—Vegetation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10032—Satellite or aerial image; Remote sensing
- G06T2207/10036—Multispectral image; Hyperspectral image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30181—Earth observation
- G06T2207/30188—Vegetation; Agriculture
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30242—Counting objects in image
Abstract
The invention provides a fruit tree number statistical system based on density analysis, which relates to the field of satellite remote sensing and comprises a sensing satellite, an information transfer station and an information processing terminal, wherein as is known, the leaf density of a single fruit tree is continuously reduced from the middle part to two sides, namely, the leaves are gradually reduced from the trunk to two sides, so that the vegetation index of the trunk or core area of the single fruit tree is far larger than that of the sides, and the vegetation index change unit of the single fruit tree is determined; the unit area satisfies the number of vegetation index change units of a single fruit tree, so that the statistics of the number of fruit trees in the unit area is completed.
Description
Technical Field
The invention relates to the field of satellite remote sensing, in particular to a fruit forest number statistical system based on density analysis.
Background
The remote sensing satellite is an artificial satellite used as an outer space remote sensing platform, a remote sensing technology using the satellite as the platform is called satellite remote sensing, the remote sensing satellite can cover the whole earth or any designated area within a specified time, when the remote sensing satellite runs along a geosynchronous orbit of the earth, the remote sensing satellite can continuously carry out remote sensing on a designated area on the earth surface, satellite data obtained from the remote sensing satellite can monitor the conditions of agriculture, forestry, ocean, national soil, environmental protection, meteorology and the like, and the remote sensing satellite mainly comprises three types of meteorological satellite, land satellite and ocean satellite.
However, the existing remote sensing satellite can only analyze the vegetation index according to the existing multispectral picture information to further determine the plant coverage rate of the earth surface, but no method is provided for determining and extracting the fruit tree number, so that technicians are inconvenient to obtain the fruit tree number information of a unit area, and certain trouble is caused.
Disclosure of Invention
The invention aims to solve the technical problem of overcoming the defects in the prior art and provides a fruit forest number statistical system based on density analysis.
The invention is realized by the following technical scheme: a fruit forest number statistical system based on density analysis comprises a remote sensing satellite, an information transfer station and an information processing terminal, wherein,
the remote sensing satellite regularly shoots multispectral picture information and sends the multispectral picture information to the information transfer station;
the information transfer station is used for receiving multispectral picture information transmitted by the remote sensing satellite and enhancing and forwarding the multispectral picture information to the information processing terminal;
the information processing terminal receives multispectral picture information transmitted by the information transfer station;
a fruit forest number extraction model is arranged in the information processing terminal;
s is the number of fruit trees in unit area;
Δρtis a vegetation index change unit of a single fruit tree;
ρ0is the vegetation index of the core area of a single fruit tree;
ρ1is the vegetation index from the core area of a single fruit tree to the outside;
and the delta T is the number of vegetation index change units meeting the single fruit tree in unit area.
According to the technical scheme, preferably, the remote sensing satellite acquires a high-definition imaging picture on the ground in real time and sends the high-definition imaging picture to the information transfer station.
According to the above technical solution, preferably, the method comprises the following steps:
the remote sensing satellite regularly shoots multispectral pictures and high-definition imaging pictures and sends related data to the information transfer station;
the information transfer station receives the multispectral image and the high-definition imaging image sent by the remote sensing satellite, and the multispectral image and the high-definition imaging image are transmitted to the information processing terminal in an enhanced mode;
the information processing terminal receives the relevant data forwarded by the information transfer station and outputs the delta rho according to the fruit tree number extraction modeltAnd Δ T, S is calculated.
The invention has the beneficial effects that: as is well known, the density of the leaves of a single fruit tree is continuously reduced from the middle to two sides, that is, the leaves are gradually reduced from the trunk to two sides, so that the vegetation index of the trunk or the core area of the single fruit tree is far greater than that of the sides, and thus the vegetation index change unit of the single fruit tree is determined; the unit area satisfies the number of vegetation index change units of a single fruit tree, so that the statistics of the number of fruit trees in the unit area is completed.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the following provides a detailed description of the present invention with reference to the embodiments.
The invention provides a fruit forest number statistical system based on density analysis, which comprises a remote sensing satellite, an information transfer station and an information processing terminal, wherein,
the remote sensing satellite regularly shoots multispectral picture information and sends the multispectral picture information to the information transfer station;
the information transfer station is used for receiving multispectral picture information transmitted by the remote sensing satellite and enhancing and forwarding the multispectral picture information to the information processing terminal;
the information processing terminal receives multispectral picture information transmitted by the information transfer station;
a fruit forest number extraction model is arranged in the information processing terminal;
s is the number of fruit trees in unit area;
Δρtis a vegetation index change unit of a single fruit tree;
ρ0is the vegetation index of the core area of a single fruit tree;
ρ1is the vegetation index from the core area of a single fruit tree to the outside;
and the delta T is the number of vegetation index change units meeting the single fruit tree in unit area.
According to the technical scheme, preferably, the remote sensing satellite acquires a high-definition imaging picture on the ground in real time and sends the high-definition imaging picture to the information transfer station.
According to the above technical solution, preferably, the method comprises the following steps:
the remote sensing satellite regularly shoots multispectral pictures and high-definition imaging pictures and sends related data to the information transfer station;
the information transfer station receives the multispectral image and the high-definition imaging image sent by the remote sensing satellite, and the multispectral image and the high-definition imaging image are transmitted to the information processing terminal in an enhanced mode;
the information processing terminal receives the relevant data forwarded by the information transfer station and outputs the delta rho according to the fruit tree number extraction modeltAnd Δ T, S is calculated.
The invention has the beneficial effects that: as is well known, the density of the leaves of a single fruit tree is continuously reduced from the middle to two sides, that is, the leaves are gradually reduced from the trunk to two sides, so that the vegetation index of the trunk or the core area of the single fruit tree is far greater than that of the sides, and thus the vegetation index change unit of the single fruit tree is determined; the unit area satisfies the number of vegetation index change units of a single fruit tree, so that the statistics of the number of fruit trees in the unit area is completed.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (3)
1. A fruit forest number statistical system based on density analysis is characterized by comprising a remote sensing satellite, an information transfer station and an information processing terminal, wherein,
the remote sensing satellite regularly shoots multispectral picture information and sends the multispectral picture information to the information transfer station;
the information transfer station is used for receiving multispectral picture information transmitted by a remote sensing satellite and enhancing and forwarding the multispectral picture information to the information processing terminal;
the information processing terminal receives multispectral picture information transmitted by the information transfer station;
a fruit forest number extraction model is arranged in the information processing terminal;
s is the number of fruit trees in unit area;
Δρtis a vegetation index change unit of a single fruit tree;
ρ0is the vegetation index of the core area of a single fruit tree;
ρ1is the vegetation index from the core area of a single fruit tree to the outside;
and the delta T is the number of vegetation index change units meeting the single fruit tree in unit area.
2. The system of claim 1, wherein the remote sensing satellite acquires high-definition imaging pictures of the ground in real time and sends the high-definition imaging pictures to the information transfer station.
3. The fruit forest number statistical system based on density analysis as claimed in claim 2, comprising the following steps:
the remote sensing satellite regularly shoots multispectral pictures and high-definition imaging pictures and sends related data to the information transfer station;
the information transfer station receives the multispectral image and the high-definition imaging image sent by the remote sensing satellite, and the multispectral image and the high-definition imaging image are transmitted to the information processing terminal in an enhanced mode;
the information processing terminal receives the relevant data forwarded by the information transfer station and outputs the delta rho according to the fruit tree number extraction modeltAnd Δ T, S is calculated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010865237.1A CN112069947A (en) | 2020-08-25 | 2020-08-25 | Fruit forest grain number statistical system based on density analysis |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010865237.1A CN112069947A (en) | 2020-08-25 | 2020-08-25 | Fruit forest grain number statistical system based on density analysis |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101922914A (en) * | 2010-08-27 | 2010-12-22 | 中国林业科学研究院资源信息研究所 | Crown information extraction method and system based on high spatial resolution remote sense image |
| CN110598619A (en) * | 2019-09-06 | 2019-12-20 | 中国农业科学院农业资源与农业区划研究所 | Method and system for identifying and counting fruit trees by using unmanned aerial vehicle images |
| CN110807435A (en) * | 2019-11-07 | 2020-02-18 | 航天信德智图（北京）科技有限公司 | Remote sensing forest accumulation monitoring method based on various vegetation indexes |
-
2020
- 2020-08-25 CN CN202010865237.1A patent/CN112069947A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101922914A (en) * | 2010-08-27 | 2010-12-22 | 中国林业科学研究院资源信息研究所 | Crown information extraction method and system based on high spatial resolution remote sense image |
| CN110598619A (en) * | 2019-09-06 | 2019-12-20 | 中国农业科学院农业资源与农业区划研究所 | Method and system for identifying and counting fruit trees by using unmanned aerial vehicle images |
| CN110807435A (en) * | 2019-11-07 | 2020-02-18 | 航天信德智图（北京）科技有限公司 | Remote sensing forest accumulation monitoring method based on various vegetation indexes |
Non-Patent Citations (2)
| Title |
|---|
| 董天阳等: "基于形态Snake模型的遥感影像的单木树冠检测算法", 《计算机科学》 * |
| 董新宇等: "无人机遥感影像林地单株立木信息提取", 《遥感学报》 * |
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Application publication date: 20201211 |