Satellite image fusion method and system

• US 8,320,712 B2
• Filed: 12/29/2008
• Issued: 11/27/2012
• Est. Priority Date: 03/07/2008
• Status: Expired due to Fees

• Current Assignee: Korea Aerospace Research Institute
• Original Assignee: Korea Aerospace Research Institute
• Inventors: Lee, Dong-Han, Choi, Myung-Jin, Lim, Hyo-Suk
• Primary Examiner(s): ENTEZARI, MICHELLE M
• Application Number:
  US12/345,240
• Publication Number:
  US 20090226114A1
• Time in Patent Office: 1,429 Days
• Field of Search: 382/284
• US Class Current: 382/294
• CPC Class Codes: G06F 18/251 of input or preprocessed data
• CPC Class Codes: G06T 2207/10036 Multispectral image; Hyperspectral image
• CPC Class Codes: G06T 2207/10041 Panchromatic image
• CPC Class Codes: G06T 2207/20021 Dividing image into blocks, subimages or windows
• CPC Class Codes: G06T 2207/30181 Earth observation
• CPC Class Codes: G06T 3/4061 by injecting details from different spectral ranges
• CPC Class Codes: G06V 10/803 of input or preprocessed data
• CPC Class Codes: G06V 20/13 Satellite images

Abstract

Satellite image fusion method and system are provided. The satellite image fusion method includes matching sizes of a panchromatic image and a multispectral image captured from a satellite image; dividing the panchromatic image and the multispectral image into a plurality of blocks; calculating coefficients to acquire Intensity (I) component image data using pixel values of each block of the multispectral image; and generating fused multispectral image data by applying the acquired I component image data to a fusion algorithm. In the multispectral image fusion, the distortion of the color information can be minimized and the multispectral image data of the high resolution can be attained. In addition, the present invention is applicable to not only the IKONOS images but also other satellite images, and the present image fusion can be carried out fast.

Claims

1. A satellite image fusion method comprising:

matching sizes of a panchromatic image and a multispectral image captured from a satellite image;

dividing the panchromatic image and the multispectral image into a plurality of blocks;

calculating coefficients to acquire Intensity (I) component image data using pixel values of each block of the multispectral image; and

generating fused multispectral image data by applying the acquired I component image data to a fusion algorithm,

wherein the coefficients are calculated using a least square method based on the following equation;

2. The satellite image fusion method of claim 1, wherein the coefficients are average values of coefficients calculated in the respective block.

3. The satellite image fusion method of claim 1, wherein the coefficients are calculated using a least square method based on the following equation:

4. The satellite image fusion method of claim 3, wherein the fusion algorithm is given by the following equation:

5. The satellite image fusion method of claim 4, wherein the coefficients are average values of coefficients calculated in the respective blocks.

6. The satellite image fusion method of claim 1, wherein the matching of the sizes of the panchromatic image and the multispectral image matches the panchromatic image in the size by enlarging the multispectral image.

7. A satellite image fusion system comprising:

an image processor for matching sizes of a panchromatic image and a multispectral image captured from a satellite image, and dividing the panchromatic image and the multispectral image into a plurality of blocks;

an operator for calculating coefficients to acquire Intensity (I) component image data using pixel values of each block of the multispectral image; and

an image generator for generating fused multispectral image data by applying the acquired I component image data to a fusion algorithm

wherein the coefficients are calculated using a least square method based on the following equation;

8. The satellite image fusion system of claim 7, wherein the coefficients are average values of coefficients calculated in the blocks.

9. The satellite image fusion system of claim 7, wherein the coefficients are calculated using a least square method based on the following equation:

10. The satellite image fusion system of claim 9, wherein the fusion algorithm is given by the following equation:

11. The satellite image fusion system of claim 10, wherein the coefficients are average values of coefficients calculated in the blocks.

12. The satellite image fusion system of claim 7, wherein the image processor matches the panchromatic image in the size by enlarging the multispectral image.