Greenhouse identification method and device

An identification method and greenhouse technology, applied in the field of remote sensing applications, can solve the problems of slow processing speed, low spatial resolution, and complicated calculation, and achieve the effects of reliable identification results, high robustness, and simple and convenient identification process.

Active Publication Date: 2020-07-03
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The greenhouse detection algorithm based on medium and low resolution remote sensing images has the disadvantages of low spatial resolution, complex calculation and slow processing speed

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Greenhouse identification method and device
  • Greenhouse identification method and device
  • Greenhouse identification method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] figure 1 The greenhouse identification method in the embodiment of the present invention is shown. Among them, the greenhouse knowledge method is based on the intelligent terminal. Such as figure 1 As shown, the greenhouse knowledge method includes the following steps:

[0049] S10: Receive the remote sensing image input by the user, and acquire the remote sensing image data, the remote sensing image data includes visible light band.

[0050] Among them, remote sensing images are preferably medium and low resolution remote sensing images, among which, medium and low resolution remote sensing images include NOAA / AVHRR, MODIS, SPOT VEGETATION and other low spatial resolution remote sensing images with a spatial resolution within 1000m, as well as Landsat, SPOT Medium spatial resolution remote sensing image data such as ATSER and ATSER with a spatial resolution within 100m. Due to the low and medium resolution remote sensing images have the advantages of wide image cov...

Embodiment 3

[0082] Figure 5 The greenhouse identification device in the embodiment of the present invention is shown. The greenhouse knowledge device includes, but is not limited to, an intelligent terminal. Such as Figure 5 As shown, the greenhouse knowledge device includes a remote sensing image data acquisition module 10 , a vegetation index acquisition module 20 , a water body index acquisition module 30 and a greenhouse identification module 40 .

[0083] The remote sensing image data acquiring module 10 is configured to receive the remote sensing image input by the user and acquire the remote sensing image data, the remote sensing image data includes the visible light band.

[0084] Among them, remote sensing images are preferably medium and low resolution remote sensing images, among which, medium and low resolution remote sensing images include NOAA / AVHRR, MODIS, SPOT VEGETATION and other low spatial resolution remote sensing images with a spatial resolution within 1000m, as w...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a greenhouse identification method and device. The greenhouse identification method includes: receiving remote sensing images input by users, and obtaining remote sensing image data, the remote sensing image data including visible light bands; using vegetation index calculation formulas to process the remote sensing image data to obtain vegetation indices; using enhanced water body The index calculation formula processes the remote sensing image data to obtain an enhanced water body index; the vegetation index, the enhanced water body index and the visible light band identification feature are identified based on a classification decision tree in the remote sensing image greenhouse area. In the greenhouse recognition method, the recognition process is simple and convenient, the calculation efficiency is high and it is easy to implement; moreover, less parameters are required, no need to set a large number of parameters, and the robustness is high.

Description

technical field [0001] The invention relates to the technical field of remote sensing applications, in particular to a greenhouse identification method and device. Background technique [0002] With the rapid development of urbanization in recent years, the contradiction between urban construction and agricultural land has been intensified, and more people and less land has become a serious problem. As a new agricultural facility, agricultural greenhouse has outstanding advantages such as low price, resistance to diseases and insect pests, no limitation of climate and environment, and increased yield per unit area. Therefore, it has been rapidly applied and has been growing at an annual rate of 20% in recent years. . The mastery of greenhouse coverage area is of great significance for national overall planning and agricultural output value estimation. The coverage area of ​​traditional greenhouses is mainly determined by manual on-site visits and reports to the superiors l...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06Q50/02
CPCG06Q50/02G06V20/188
Inventor 王志盼张清凌钱静陈凯
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap