Apparatus for partitioning compressed satellite image and the method thereof
Disclosed an apparatus and method of partitioning compressed satellite image, and more specifically, the present invention relates to a technique for forming index information on the compressed satellite image using the starting point and the length of a compressed section so as to randomly access each compressed section in the wavelet-based compressed satellite image recommended through CCSDS. The present invention minimizes costs for long-term storage of the satellite image data by immediately indexing, partitioning, and storing the compressed satellite data in a storage without recovering the compressed satellite data, rapidly provides high-quality satellite images for users by minimizing information loss while recovering the compressed image, and thereby being effective for being able to reduce computing resources needed to recover the compressed image data.
1. An apparatus having a processor for partitioned processing of compressed satellite images, wherein the processor causes the apparatus to:
receive, using the processor, a source packet including high resolution wavelet transformed compressed satellite image segments continuously transmitted from satellites;
extract, using the processor, compressed satellite image segments and length information of the high resolution wavelet transformed compressed satellite image segments from the received source packet;
generate, using the processor, an index of the compressed satellite image segments using the length information and a consecutive beginning position; and
store, in a storage unit, the compressed satellite image segments and the generated index.
2. The apparatus according to claim 1 , wherein the source packet further comprises:
variable sized compressed satellite image segments;
source data comprising an auxiliary data field,
the auxiliary data field comprising attitude and position information of a satellite;
packet data comprising header data,
the header data comprising property information of the source data and the length information of the source packet.
3. The apparatus according to claim 1 , wherein at least one of the compressed satellite image segments is generated through wavelet transform and BPE (bit plane encoding).
4. The apparatus according to claim 1 , wherein the consecutive beginning position is calculated by extracting a consecutive beginning position of a next compressed satellite image segment by adding a beginning position of a previous compressed satellite image segments to a length of the previous compressed satellite image segment.
5. The apparatus according to claim 1 , wherein the stored compressed satellite image segments are independently decompressed by additionally referring to previous 3 segments and next 3 segments.
6. A method for partitioned processing of compressed satellite images, the method comprising:
receiving a source packet including high resolution wavelet transformed compressed satellite image segments continuously transmitted from one or more satellites;
extracting compressed satellite image segments and length information of the said compressed satellite image segments from the received source packet;
generating an index of the compressed satellite image segments by using the length information and a consecutive beginning position; and
storing the compressed satellite image segments and the generated index.
7. The method according to claim 6 , wherein the source packet further comprises:
variable sized compressed satellite image segments;
source data an comprising auxiliary data field,
the auxiliary data field comprising attitude and position information of a satellite;
packet data comprising header data,
the header data comprising property information of the source data and length information of the source packet.
8. The method according to claim 6 , wherein the compressed satellite image segments are generated through wavelet transform and BPE (bit plane encoding).
9. The method according to claim 6 , wherein consecutive beginning position is calculated by extracting consecutive beginning position of a next compressed satellite image segment by adding a beginning position of a previous compressed satellite image segment to a length of the previous compressed satellite image segment.
10. The method according to claim 6 , wherein the stored compressed satellite image segments are independently decompressed by additionally referring to previous 3 segments and next 3 segments.