Satellite photos of possible crash site of MH370
photos-4.dropbox.com
photos-4.dropbox.com
https://maps.google.ca/maps?q=-43.5834,90.5737 [from 1]
https://maps.google.ca/maps?q=-44.0302,91.1327 [from 2]
Based off these images:
[1] https://photos-4.dropbox.com/t/0/AAAFoSL9yTdmE2e4_DanfiQ5uk_...
What's the depth in that area?
So I wonder how it got out there.
In no order.
As for scenarios, based on what CNN had on their screens I would say of the media, they have pretty much jumped the shark.
I am more and more interested in what steps international authorities will take with regards to requirements for commercial aircraft. We have the technology to prevent disappearances like this from occurring again, so will they step up and require them? The costs of the search must be pretty high by now
I believe you nailed that one! And some people doubted the value of speculation on forums in terms of aiding the investigation :-)
People have explained on other threads that the pilot can pretty much turn off anything they want on board, so I'm not sure how you'd prevent that. Maybe they should have some kind of black-box-transponder thing that's self contained and cannot harm the aircraft even if, say, the circuitry were to catch on fire. Shrug... not my area of expertise by a long shot.
In the scenario depicted, "all the busses are pulled", in which case the airplane goes silent, then restored one by one, except that because of the fire, restoration hasn't been possible.
If that will prove to be the case, I think prevention measures would be quite hard - circuits were silenced.
[1]=https://plus.google.com/app/basic/stream/z13cv1gohsmbv5jmy22...
No it hasn't: https://news.ycombinator.com/item?id=7431715
Awaiting confirm on just what it is...
But I think they think it's real because it looks the same on both types of imaging, while the noise looks different between the two images.
US intelligence agencies already have software that does multi-capture analysis like this, and I suspect it was the original source of this "discovery." Usually it is ran on small areas of the ocean (near military seaports or choke points in waterways) or is done at lower resolution to find big objects (aircraft carriers or cargo ships). The computational workload to find a sub-60 foot object in an entire ocean is mind blowing.
For reference, DIGO is the Australian version of the U.S. NGA.
They probably have a bunch of analysts pulling long shifts staring at endless images of ocean along the suspected track.
I´m not telling this is the actual case, but I would do it if I were the one in charge of such technology.
It certainly is not a 'computer vision 101' project. 'Computer vision 101' is 'do edge detection using opencv', not 'build a complete system that interfaces near-realtime with satellite imagery sources that can do very detailed analysis, but without a real definition of what we're looking for, on huge amounts of data'.
Normally it searches for contacts in a programmed grid pattern, sort of a random-chance game of finding bad guys ( HF backscatter radars don't sweep like UHF radars with which we are more familiar ).
I'd hazard a guess that they programmed a radar search of the suspected area and when it found a contact they went and checked the satellite imagery. Spectroscopy from the image capture showed the object to be non-natural.
Consider that it bounces its signal off the ionosphere to 'illuminate' an area on the surface. You can move that area around like a viewport but you can't make the viewport bigger.
If the MAS a/c didn't enter the areas they were monitoring that day then they wouldn't have contacted.
http://www.ted.com/talks/dan_berkenstock_the_world_is_one_bi...
One fascinating use-case is “gleaning a country’s consumption from images showing the number of cars in every one of its Walmart parking lots"
We live in such interesting times!
It's interesting to think about the problem both from the perspective of the retailer AND from the perspective of the investor.
I mean a retailer can just look at their sales volume as an estimate for customer volume but obviously that data isn't available to outsiders.
One massive opportunity I've been swirling in my mind is what if you applied image recognition to counting foot traffic. Like if you could just point a webcam at a storefront and automatically count foot traffic - that would be very valuable information.
Distance between: 43:58:34S 090:57:37E 44:03:02S 091:13:27E is 22.72km according to WolframAlpha
Images are from DigitalGlobe. A commercial satellite imagery / spatial data provider who provide a lot of imagery that powers Google Earth / Map. Also providing the imagery for the crowd-sourced effort for the search.
More info on their satellites on their wiki http://en.wikipedia.org/wiki/DigitalGlobe
Wing span 60.9 metres; Overall length 63.7 metres; Tail Height 18.5 metres
Just thinking out loud... but a piece that's 24m long, seems a bit small. To me it makes me think of a boat or something similar. I guess the news agencies are happy with this news today, at least they don't have to keep on repeating the fluff from the last few days.
maybe a wing with an empty fuel tank.
The Crimean crisis is a good example of a news-worthy story that is absolutely not Hacker News-worthy.
I am interested in this, I'm interesting in the technology, crowdsourcing and stuff to find the plane.
All I got was a jpg link to a person's dropbox, with no information about today's finding / sighting as opposed to yesterday's. Just a picture of a blob.
(I don't know if I'm kidding)
I don't want to forget that this is a tragedy for the families involved. But I think it is more technically interesting story than a javascript text editor or the latest crypto currency news.
to my knowledge, we've seen one arc (from the last ping) that has been split into two parts based on assumptions of maximum and minimum ranges of straight flight at even speed.
that's a lot of assumptions.
I´ve read that the telephone ping was just every hour or so, that gives you at least 5 or 6 pings during the flight, some of them when the aircraft was at known positions.
It´s a pity because with a ping every 5 min it would have been possible to obtain a pretty narrow route.
The ping arc error zone it´s quite wide (about 100NM) but maybe it could be possible to correct it somehow comparing the ping string with the last known positions.
Of course it´s just going to give wide probable routes, but there is a possibility that they give additional indirect information, like some branches overflying radar zones, or airways on the general direction of the probable route that could be used to narrow the search again. Even if it just works for reducing the actual search surface it´s worth looking at it. I suppose that the SAR teams are trying to do something similar, but after seeing last´s week response it´s difficult