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Speeding up the processing of space images
加快空間圖像處理
Much of the information that is beamed back from space is useless.
從太空傳回來的許多信息是沒用的。
Pictures taken by satellites orbiting the Earth might take days to download,
由繞地球運行的衛星拍攝的照片可能需要好幾天才能下載下來，
only to show lots of cloud obscuring the area of interest.
下載下來的圖片只能顯示大量遮蓋住興趣區的云層。
The subject matter may also be surrounded by irrelevant information. All this uses up a lot of valuable bandwidth.
主體可能也被不相關信息所圍繞。所有這些都消耗了大量寶貴的帶寬。
Processing data in space, before transmission, would reduce clutter, but this can be tricky.
在傳輸之前，在太空中處理數據可以減少雜波，但這可能會很棘手。
Cosmic rays randomly flip the ones and zeroes that computers operate on, introducing unpredictable errors.
宇宙線隨機翻轉電腦操作的1和0，帶來不可預測的錯誤。
High levels of radiation can also damage electronic circuits. KP Labs, based in Gliwice, Poland,
高能級輻射也可能會破壞電子電路。位于波蘭格利維策的KP實驗室
is building a satellite to overcome some of these problems. Their device, called Intuition-1, is controlled by a neural network,
正在建造一個克服其中一些問題的衛星。他們的設備被稱為Intuition-1，由一個神經網絡進行控制，
a form of artificial intelligence modelled on the human brain.
這是一種以人腦為模型的人工智能。
The satellite is what is known in the trade as a 6U CubeSat,
這顆衛星在業內被稱為6U CubeSat，
which means it is composed of six standard-sized 10x10x11.5cm modules.
這意味著它由6個標準尺寸的10x10x11.5厘米模塊組成。
Intuition-1 will be equipped with a hyperspectral imager, which takes 150 pictures of every scene it looks at.
Intuition-1將裝配一個超光譜成像儀，它會為每個看到的場景拍攝150張照片。
Each picture is at a different spectral frequency, so contains different information.
每張圖片的光譜頻率不同，所以包含信息也不同。
The neural network stitches these together using powerful graphics chips hardened against radiation.
神經網絡利用強大的抗輻射圖形芯片將這些數據拼接在一起。
The developers have also built error correction into their software.
開發人員還在他們的軟件中內置了糾錯功能。
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