Looking for Lunar Anomalies, continued again

This is an agreement map of 20 different models.  Any shade of orange indicates that all 20 models agreed that this was one of the top 256 anomalies in this region.  Grayscales indicate number of models that agreed on that particular location, brighter meaning more models in agreement.

And here's the average agreement map.  Bright areas indicate strong model agreement AND a high anomaly score:

LRO dataset M1493691723RC

Lunar Anomalies #15

A large (~300 meter diameter) hexagonal-shaped crater, with a weird looking center:

LRO dataset M1493691723RC

Lunar Anomalies #14

This first image is an area about 750m by 750m.  A large shallow crater fills almost the entire area.

Center right is a very bright ejecta blanket (???) and a crater (???).  Looks slightly pentagonal.

Are those shock waves in the regolith (near the center of the image) radiating from that bright 'crater'?

Also note the pentagonal crater (lower left), and what seems to be two almost equal-sized craters one 'inside' the other (upper right).

This is in LRO dataset M1493691723RC.

Also in the same dataset but in a slightly different location:

What is that dome-looking object in the center of this crater?  At the resolution of this image (0.68 meters per pixel), this object is about 7 meters across.

This one, from LRO dataset M1493691723LC, is very confusing:

Same dataset -- there continue to be quite a number of craters with these dark areas in their centers.  This one also appears to have other internal structures:

Looking For Lunar Anomalies, continued

I've extended the capabilities of lunar anomaly detection by adding a form of 'Method of Experts'.

As previously described, my lunar anomaly detector uses an Autoencoder to detect small patches on the moon that are 'not the moon' according to the training data.  The training data for the autoencoder is over seventy-five hundred 64x64 pixel image 'segments', randomly selected from a ~5km by ~6.5km region on the moon.

The anomaly detector then systematically goes through the same image and gives each 64x64 pixel 'segment' a score based on how much unlike the moon it is (that is, how well the autoencoder is able to re-create the input image).  The higher the score, the more unlike the moon.

Because the autoencoder is trained on a random set of data, it seems reasonable to assume that different training sessions will generate different autoencoder models.  This is indeed the case.

So now I can see how much different models agree with each other, and generate two new data products:

1. An 'agreement map' that shows the agreement between eight different models.  Sofar in my observations, about 70% of the top 256 scores agree across all models.

2. An 'agreement/score map' that shows a superposition of where the models agree and what 'segments' are most anomalous

Here's a typical region (from LRO dataset M1424544254RC):

Here is the 'agreement map' between the 'top 256' most anomolous regions among the eight different models (red indicates the 178 segments where all eight models agreed, grayscale indicates lower levels of agreement):

Here's the 'agreement map' superimposed onto the input LRO image.  The grey areas are hard to see, but the red areas show up ok:

And now here is the 'agreement / score map' -- a combination of the agreement and the total score between the eight different models:

The bright areas are where the models agree and the scores are high.  This might be useful for detecting regional or large-scale anomalies in addition to specific anomalies.

Tall Cone Rock

This object in the center of this image is 15m tall and 7m in diameter, given that the sun is about 17 degrees above the horizon and the shadow is about 50m long.

LRO dataset M1424544254RC

Bright Meteor

A bright meteor exploded over northern Sonora Mexico the other morning (20 June 2026, 11:06:08 UTC) as seen from one of my Global Meteor Network cameras (located southeastern Arizona USA):

crater shape

Circle?

Pentagon?

Hexagon?

Also looks like two concentric 'circles' within the crater

LRO Dataset M1465577656LC