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A method of browsing large remote sensing images on the android system

A remote sensing image and image technology, applied in image enhancement, image analysis, image coding and other directions, can solve the problems of OOM memory overflow, application instability, difficulty in browsing large remote sensing images, etc., and achieve the effect of reducing time and saving disk space.

Inactive Publication Date: 2018-10-30
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Secondary development components such as ArcGIS of ERSI, UCMap of Bianbu, and SuperMap of SuperMap all support the loading of remote sensing images on mobile terminals through their own methods, but the support for large offline remote sensing images is obviously insufficient, which can easily cause OOM (Out Of Memory) memory overflow, resulting in extremely unstable applications
At present, Android mobile devices have accounted for 83.6% of the market and are widely used. However, Google has set the default memory space of each app on Android devices to 16MB, making it more difficult for the Android system to browse large remote sensing files of several GB or tens of GB. image

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  • A method of browsing large remote sensing images on the android system
  • A method of browsing large remote sensing images on the android system
  • A method of browsing large remote sensing images on the android system

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Experimental program
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Embodiment Construction

[0027] This embodiment includes the following steps:

[0028] The steps of converting an image into a tile file stream set file and index file include:

[0029] Step 1: Read the remote sensing image that needs to be processed, and obtain the attribute information of the picture in the image;

[0030] Step 2: Write the attribute information and compression information of the picture into the file header of the tile stream set file;

[0031] Step 3: Divide the picture according to the preset size. For each divided block, calculate the coordinates of the upper left corner relative to the picture. The preset size refers to the size of the pixel area divided by the picture, which is determined according to the performance of the tablet. , the better the performance of the tablet, the larger the preset size, such as 256*256, etc.; and the coordinates of the upper left corner relative to the picture are the position of the pixel in the upper left corner of the divided picture relati...

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Abstract

The invention discloses a method of browsing a large remote sensing image in an Android system, which belongs to the field of remote sensing image processing technology. The method comprises a step of converting the image into a tile file stream set file and an index file, a step of stitching the image from the tile file stream set file and the index file and a step of browsing the image. Feasibility is provided for automatic development of a mobile GIS in the Android system, and the method can be widely applied to field work such as first-class, second-class and third-class investigation on forest resources, field assisted positioning, and remote sensing map discrimination. Large remote sensing images can be loaded on the Android system in an offline mode, a high-score first image of 25.6 GB and a Pulid SPOT image of 12.9 GB can be supported, the magnetic disc space is saved, the time of importing the tile in a movable platform is reduced, the feasibility is provided for subsequent development of the mobile GIS on the Android, and applications of the mobile GIS on the aspects of forest resource information acquisition, remote sensing map discrimination and the like can be greatly promoted.

Description

technical field [0001] The invention relates to a method for browsing large-scale remote sensing images on an Android system. Background technique [0002] Browsing remote sensing images on mobile devices is the cornerstone of mobile GIS development. The development methods mainly include secondary development based on existing components and independent development based on the bottom layer. Secondary development components such as ArcGIS of ERSI, UCMap of Bianbu, and SuperMap of SuperMap all support the loading of remote sensing images on mobile terminals through their own methods, but the support for large offline remote sensing images is obviously insufficient, which can easily cause OOM (Out Of Memory) The memory overflows, causing the application to be extremely unstable. At present, Android mobile devices have accounted for 83.6% of the market and are widely used. However, Google has set the default memory space of each app on Android devices to 16MB, making it more ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T9/00G06T3/40G06F3/14
CPCG06F3/14G06F16/5838G06T3/4038G06T9/00G06T2207/10032
Inventor 林辉阳德志臧卓王广兴
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY