November 13, 2018 Dataset Open Access

Hannah Kerner; Danika Wellington; Kiri Wagstaff; Jim Bell; Heni Ben Amor

JSON-LD (schema.org) Export

{
  "description": "<p>These datasets were used for experiments in the paper:<br>\nKerner, H. R., Wellington, D. F., Wagstaff, K. L., Bell III, J. F., Ben Amor, H. Novelty Detection for Multispectral Images with Application to Planetary Exploration.&nbsp;In Proceedings of&nbsp;<em>Innovative Applications in Artificial Intelligence (IAAI/AAAI)</em>, 2019.&nbsp;</p>\n\n<p>The file cae_train.zip contains examples used for training the convolutional autoencoder. Each example is a Numpy array (.npy) of size 64x64x6 pixels.</p>\n\n<p>The file novel_images.zip contains the 332 tiles labeled as &quot;novel&quot; for containing novel geologic features.&nbsp;Each example is a Numpy array (.npy) of size 64x64x6 pixels.</p>\n\n<p>The file cnn_direct.zip contains examples used for fine-tuning pre-trained networks. Images are divided into &quot;vis&quot; (shorter wavelengths) and &quot;nir&quot; (longer wavelengths) and by their label of &quot;typical&quot; vs. &quot;novel.&quot; These three-channel images are stored as .jpg files.</p>\n\n<p>All files are named with the following convention: sequence_id_XX*_{R,L}Y_solZZZZ_N.npy where XX* is the sequence ID for the image, {R,L}Y indicates the right (R) or left (L) eye of the camera and the image number in the sequence (Y), and ZZZZ is the four-digit sol (Martian day since the rover began operations) the image was acquired on.</p>\n\n<p>All source images are publicly released&nbsp;Experiment Data Records (EDRs) archived by&nbsp;the Planetary Data System (PDS).</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Arizona State University", 
      "@type": "Person", 
      "name": "Hannah Kerner"
    }, 
    {
      "affiliation": "Arizona State University", 
      "@type": "Person", 
      "name": "Danika Wellington"
    }, 
    {
      "affiliation": "Jet Propulsion Laboratory", 
      "@type": "Person", 
      "name": "Kiri Wagstaff"
    }, 
    {
      "affiliation": "Arizona State University", 
      "@type": "Person", 
      "name": "Jim Bell"
    }, 
    {
      "affiliation": "Arizona State University", 
      "@type": "Person", 
      "name": "Heni Ben Amor"
    }
  ], 
  "url": "https://zenodo.org/record/1486196", 
  "datePublished": "2018-11-13", 
  "version": "1", 
  "keywords": [
    "Mars, novelty detection, space, multispectral"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/da8ded8d-601f-45e9-b75b-63827a51d669/cae_train.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/da8ded8d-601f-45e9-b75b-63827a51d669/cnn_direct.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }, 
    {
      "contentUrl": "https://zenodo.org/api/files/da8ded8d-601f-45e9-b75b-63827a51d669/novel_images.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
    }
  ], 
  "identifier": "https://doi.org/10.5281/zenodo.1486196", 
  "@id": "https://doi.org/10.5281/zenodo.1486196", 
  "@type": "Dataset", 
  "name": "Mars novelty detection Mastcam labeled dataset"
}