ABM Or Drone Pilot and Why?

You will have to cut you hair to crew cut length - Afros are NOT approved -

1. How stable would a Falcon 9 first stage be after it has landed on a drone ship?

The landing legs spread out pretty far. 60 feet or more in total around the core. The center of mass is fairly low due to the mass of the engines being right at the bottom and the rest of the cylinder is very uniform and light.Thus once it is down, SpaceX expects it to be very stable. Their bigger concern is slipping around. Initially they said they would weld placeholders over the feet to secure it to the deck. Then people started reporting that they would use chains to secure it. After the CRS-8 mission, Elon Musk (transcript not yet available) said they would be welding shoes over the feet. Upon reaching port a high resolution photo shows that they also chained it down to the deck via the launch mountsThe deck has been shown in detailed photos to have lots of tie down points (like on an aircraft carrier) so both options are likely possible

2. Does Obama look weak with Iranian Defense Minister's keeping Drone as an "Asset"?

We could use the option Cheney proposed . A air strike / act of war to destroy it

3. Drone simulators for designing and flying aircraft?

I am not quite sure what kind of drone you would like to build. However, here are the ones I use for a variety of multirotor and fixed-wing drones:

4. Does every drone require a license or permit to own one?

In the USA a drone weighing more than about 8 ounces, .55 pound, must be registered before it's flown off your property. Small drones like a Tello (best starter drone IMHO), a Parrot Mambo (discontinued but good to learn with), or a Tiny Whoop (harder to fly but lots call it the best starter drone) don't require registration and they're good to learn with. It's better to crash a $99 Tello than a $999 Mavic Pro...In the USA, for the time-being, all it takes to register a larger drone for _recreational use_ is checking off several rules for safe and legal operation, paying $5, downloading a certificate of registration, putting the cert# on the outside of the drone, and carrying the certificate with you when you fly off your property.I say 'for the time-being' because the FAA will sometime soon, any day now, require that people flying drones for recreation pay a higher fee and pass an actual test on drone safety and regulations. We don't know exactly what the test is, yet, but there will sure be study guides. After some of what I've seen people do with drones, I'm all in favor of a tougher test and better enforcement of the regulations.Any use of a drone for compensation of any kind requires an FAA 107 commercial remote pilot certificate. It requires passing a tough test, similar to a commercial plane or helicopter pilot. The test covers regulations, weather, reading sectional charts, understanding how to determine the classification of airspace where a flight is planned, and a $150 fee.Compensation means using the drone in your work, like an engineer surveying a job site, or a vlogger with a monetized YouTube or Instagram following. Even offering to do a job for free to 'get exposure' has been challenged as 'compensation'. The FAA Drone Zone is a good place to start looking into drone registration and pilot certification: FAADroneZone

5. Why do Republicans claim that the drone policy is an Obama policy when it is NOT?

Do you mean that program that 0bama insists contain a provision to kill American citizens based on suspicion only ?

6. Should we petition Obama to increase drone strikes?

Over 5,000 American troops died for a lie in Iraq, and an untold form of others will spend something of their lives disabled for a lie. Did "little" georgie bush lose any sleep over that?

7. In need of a good loud rock/metal title for my radio show..?

I am the station manager of Wolf Pack Radio (NVWR) in Nevada and this is the number one problem that DJs have. Here's some strategies that I've used to help people and myself. Think of a couple words that describe your show and then think of something else that those words describe. For example, the show I do is noise rock and post punk which is unfashionable and makes people around you feel uncomfortable, so my show is called Mom Jeans. Think of a popular idea, concept, musician, whatever and make it into a pun. Example, we have a metal show called Jazzercide (Jazzercise mixed with the suffix, -acide) Think of a word that you like and put it through a thesaurus, then put those words through a thesaurus, and then maybe match it up with a word that rhymes with the final word? Think of a song that sort of exemplifies the music that you play. For example, we have a show that plays strictly industrial ambient noise and drone, so the name of his show is Discipline after the Throbbing Gristle song. Or just search wikipedia for some cool sounding diseases and medical terms and then keep following links of interesting sounding words until you find one that you like. Chainsaw Wielding Velociraptor? Hot Blood? Bling Crosby? Odine's Curse? (it's a fatal respiratory disease) Less Fashion, More Thrashin? David Schwimmer? Also, your station's got a sweet website, but I can not get your listen live stream to work. Also also, those new Rusian Circles and Pissed Jeans albums are killer, eh?

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Introduction to 3D Reconstruction Technology of UAV Image Processing Technology
First, briefly introduce the process of three-dimensional reconstruction (SFM).1. Photo shootingIf you want to align with the map, the EXIF field of the collected image file needs to have GPS information or add the corresponding ground control point2. Extract feature pointsFeature points with certain invariance are extracted from photos. The feature points that can be found in multiple photos will be used for subsequent image matching and global model generation.The commonly used feature point extraction algorithms include sift, surf, orb, etc.3. Feature matchingPairwise matching can be performed, which will lead to the time complexity of N2.It can also be matched based on timing information or GPS position, which will significantly reduce the time consumption when there are many photos, but may lead to error accumulation.Photos that successfully match enough feature points will be considered as adjacent. A set of relative position relationships can be calculated between each pair of successfully matched images to represent how the camera needs to move from the shooting position of one image to the relative position of another image. Such motion can usually be expressed as a three-dimensional rotation matrix R and a displacement vector t. The rotation matrix can also be compactly represented by the unit quaternion.4. Optimization processTheoretically, if the matching relationship is a chain, the position of each point can be calculated directly. However, if the matching between photos is a "net" (a connected undirected graph in the data structure), the solution result of the camera position corresponding to each photo is not unique. Although the real camera position is unique, there will be errors due to multiple observations of the same camera position. Generally, it is assumed that the error term of the unknown distribution obeys the Gaussian distribution (the information entropy of the Gaussian distribution is the largest under the same variance), so the constructed three-dimensional point reduction non overlapping loss functions are all about the square of the distance. At this time, the optimization is similar to the structure of the spring net (the energy is proportional to the square of the error). If there is external position information, it can be understood that the spring net is fixedly connected to the building, so the optimal position is determined; If not, only the position between the "springs" has the optimal solution, and where the "spring net" is can be explained arbitrarily, which has nothing to do with the optimization process.The method to solve this optimization problem is to establish the optimization graph and construct the corresponding Jacobian matrix J and Hessian matrix H. Perform Gauss Newton or Levenberg – Marquardt descent. Here are some mathematical techniques such as turning a redundant rotating matrix (Lie group) into a non redundant vector (Lie algebra), but I won't introduce them more.After several drops, a result close to the optimal solution is generally obtained.5. Point cloud generationAfter optimization, the position of each photo camera and the spatial position corresponding to the feature point have been determined (note here that if the EXIF information of the photo does not have GPS position and GCP, the size of the object in the image is unknown. At this time, Se (3) transform degenerates into sim (3) transform). Sparse point clouds can be reconstructed, and the position of feature points can be restored to 3D space through triangulation.6. Point cloud densification and filteringThrough the coarse matching and coarse point cloud in the previous step, refine the part step by step, extract more features (not necessarily feature points, but also regional blocks), and match to obtain a more dense point cloud.Generally, there are only dozens to hundreds of sift / surf feature points in an image. This matching is very robust, but obviously even if all these points are matched, it is not enough to restore any valuable graphics. This requires the densification of the point cloud and the gradual refinement of the previous camera position and attitude information (hereinafter referred to as pose) to restore a more dense point cloud.Because it is local matching, even if the particularly robust algorithms such as sift and surf are not used, the impact of false matching is small. Patchmatching is generally used to match one area at a time. After this step, many three-dimensional vertices will be generated on the surface of the model. These vertices will appear in the final 3D model.In the process of feature point matching and point cloud densification, there will be many miscellaneous points that have nothing to do with the local model. These points are distributed at various positions in the three-dimensional space. If they are not removed, it will seriously affect the generation of rear patches (many large and strange shapes will be generated, so that the model cannot be viewed). Therefore, some filtering algorithms need to be used to filter out obviously wrong points. (for example, one or more points far away from the main building, isolated in the air, and points far away from other point groups in a large convex hull)7. Triangulation generation and patch refinementThrough the above operations, we have obtained a number of three-dimensional vertices ranging from tens of thousands to tens of millions (depending on the number and resolution of images, whether the size and texture of the scene are changeable, etc.). At this time, through Delaunay triangulation, a group of uniform triangles can be obtained, which will contain each vertex in the 3D graph. At this time, the surface structure of the scene will be clearly visible, but these faces have no color, only the vertices have color.At this time, the generated patch may be rough and contain more stray parts that do not belong to the object. Some refinement algorithms can be used to refine these patches to obtain a more reasonable model.8. Fill textureEach triangulation will correspond to a part of the original image. Cut these parts and paste them into the corresponding small triangles to obtain a more realistic three-dimensional model with color and texture. So far, the whole process of 3D restoration and reconstruction has been completed.
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