Method for improving accuracy in extraction of lake surface area by low-space-resolution remote sensing image

一种高空间分辨率、遥感影像的技术,应用在基于遥感影像的湖面面积提取领域,能够解决空间分辨率低、难以准确反映湖面面积现状及其变化过程、湖面面积精度低等问题,达到改进精度的效果

Inactive Publication Date: 2015-07-29
CHONGQING THREE GORGES UNIV
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AI Technical Summary

Problems solved by technology

However, due to the low spatial resolution, the accuracy of lake area extracted from low-resolution remote sensing images is generally low, and some existing extraction methods have not fully considered the advantages of using other high-resolution remote sensing images. The extraction results are difficult to accurately reflect the current situation of the lake area and its changing process

Method used

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Embodiment

[0027] Specifically, taking Ayakkum Lake as an example, in order to monitor the change of the lake surface area from 2000 to 2010, multiple MODIS images were collected from 2000 to 2010. The images can be obtained from the website of the US Geological Survey or the International The scientific data service platform and other websites are free to download. The spatial resolution of the image is 500m, and two scenes of images can be obtained every day during the day; and the water body identification method based on NDWI and near-infrared bands is selected to complete the extraction of the multi-phase lake surface area.

[0028] 1. Collect 13 time-phase Landsat TM / ETM+ images. The acquisition date of this image is similar to that of some MODIS images, and its spatial resolution is 30m; and the water body identification method based on NDWI and near-infrared bands is selected to complete the multi-phase lake surface area extract.

[0029] 2. Analyze the lake area data extracted f...

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Abstract

The invention discloses a method for improving accuracy in extraction of lake surface area by low-space-resolution remote sensing images. The method includes the steps: collecting multi-time-phase low-space-resolution remote sensing images of an area where a lake is located, and extracting lake surface area; collecting high-space-resolution remote sensing images similar to the low-space-resolution images in acquiring data as many as possible, and selecting a water body recognition method to extract lake surface area; analyzing lake surface area extracted by two same-time-phase remote sensing images, judging whether a relation between two lake surface areas needs to be segmented or not, if yes, calculating parameters according to area data in each segment, and if not, calculating parameters according to all area data; establishing a correction formula for segmentation according to the parameters acquired by calculation; for lake surface area extracted by low-space-resolution images of other time phases, judging the segment in which the lake surface area is positioned, and correcting the lake surface area according to the corresponding correction formula. By the method, accuracy in extraction of the lake surface area by the low-space-resolution remote sensing images can be improved effectively.

Description

technical field [0001] The invention relates to the field of lake area extraction based on remote sensing images, in particular to a method for improving the lake area extracted from low spatial resolution remote sensing images. Background technique [0002] How to improve the accuracy of lake area based on remote sensing images has always been an important topic in the field of remote sensing information extraction. At present, there are two main types of remote sensing monitoring of lakes: one is the direct extraction of lake-related information based on high-resolution SPOT, TM or ASTER data; the other is based on low-resolution data such as AVHRR, MODIS and other data combined with related algorithms to extract target information. In contrast, the use of low-resolution AVHRR, MODIS, etc. has great advantages in terms of time resolution, coverage, and cost, so it is widely used in large-scale lake area monitoring. However, due to the low spatial resolution, the accuracy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/60
CPCG06T2207/10032
Inventor 徐蓉赵春哲熊江
Owner CHONGQING THREE GORGES UNIV
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