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rjoberon committed Jul 26, 2024
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1 change: 1 addition & 0 deletions _posts/2005-03-26-decoding-the-city-database.markdown
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title: Decoding the city database
image: /img/dsat1_dekodiert_1.png
description: A database of German cities is found together with their coordinates.
tags: ["dsat", "coordinates"]
---

*Note: This post is a copy of the original web page I set up in 2005.*
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1 change: 1 addition & 0 deletions _posts/2024-04-02-finding-the-tiles.markdown
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title: Finding the tiles
image: /img/offsets_zoom.png
description: We find a way to identify and find the image tiles.
tags: ["dsat", "cis/cod", "tiles"]
---

To find the image tiles in `dsatnord.mp` and possibly decode them, we
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1 change: 1 addition & 0 deletions _posts/2024-04-03-learning-about-the-image-format.markdown
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---
title: Learning about the image format
description: The tiles are stored in the lightning strike wavelet-compressed raster image format.
tags: ["cis/cod", "tiles"]
---


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1 change: 1 addition & 0 deletions _posts/2024-04-19-viewing-tiles-with-firefox.markdown
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title: Viewing tiles with Firefox
image: /img/screenshot_firefox_plugin.png
description: Using a plugin for Netscape Navigator we can use an old Firefox verstion to view tiles in the Windows emulator Wine.
tags: ["cis/cod", "tiles"]
---

Knowing the offsets of (potential) tiles, we can pick one (56057877)
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1 change: 1 addition & 0 deletions _posts/2024-04-20-understanding-the-image-header.markdown
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---
title: Understanding the image header
description: The image header contains the size of the file and the header.
tags: ["cis/cod", "tiles"]
---

One important question remains: Are the tiles in `dsatnord.mp` stored
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title: Visualising the tile size distribution
image: /img/offsets_sizes.png
description: What's the size of tiles and how are they arranged in the file?
tags: ["dsat", "tiles"]
---

With [mp.py](/src/mp.py)'s `offsets` command we can dump tile byte
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title: Getting an overview on the file content
image: /img/dsatnord.png
description: Putting the bits and pieces we know about the file together.

tags: ["dsat", "tiles"]
---

In [the last
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1 change: 1 addition & 0 deletions _posts/2024-04-23-searching-for-the-index.markdown
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title: Searching for the index
image: /img/un1.png
description: We visualise the parts which we have not decoded, yet.
tags: ["dsat"]
---

Now let us inspect the [unknown segments between
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1 change: 1 addition & 0 deletions _posts/2024-05-06-finding-something-unexpected.markdown
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title: Finding something unexpected
image: /img/un3_1_int.png
description: We find coordinates of highways and borders instead of tile coordinates.
tags: ["dsat", "coordinates"]
---

After having [visualised the "uncharted" parts of
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1 change: 1 addition & 0 deletions _posts/2024-05-11-visualising-entropy.markdown
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title: Visualising Entropy
description: Understanding how the tile index works and how tiles are arranged in the file.
image: /img/ve_tiles1000_165x250.png
tags: ["dsat", "tiles"]
---

Our quest to [find the tile index of D-Sat 1](/2024/04/23/searching-for-the-index.html) continues. [I have described before, what I mean with "tile index"](/2024/05/06/finding-something-unexpected.html) and I have also given a clue that I found something in the first part of the big blob of data `dsatnord.mp` which I named `un1.dat`.
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1 change: 1 addition & 0 deletions _posts/2024-06-27-documenting-the-file-format.markdown
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title: Documenting the file format
description: Using Kaitai Struct I can describe the file format and generate code and visualizations.
image: /img/dsat_kaitai.png
tags: ["dsat", "cis/cod"]
---

Since [the first post on decoding the city
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title: Finding something unexpected again
image: /img/aachen.png
description: To much surprise, content in a well-known file format is discovered while inspecting uncharted territories.
tags: ["dsat"]
---

This week I was poking around in the few remaining unknown territories
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1 change: 1 addition & 0 deletions _posts/2024-07-21-fragmenting-the-tile-data.markdown
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title: Fragmenting the tile data
image: /img/subband_sizes_tiles1000.png
description: Looking at some statistics about the structure of the tile data we learn something about the underlying wavelet compression.
tags: ["cis/cod", "tiles"]
---

When looking at the data segment of [CIS/COD
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