17 citations · 39 across the 7 of their papers we have counts for
7 papers
Fully Automatic Trace Gas Plume Detection
Vít Růžička, David R. Thompson, Jay E. Fahlen +13
Future imaging spectrometers will expand contemporary data volumes by orders of magnitude, requiring automated methods to upscale labor-intensive detection of trace gas point sourc…
Onboard Science Instrument Autonomy for the Detection of Microscopy Biosignatures on the Ocean Worlds Life Surveyor
Mark Wronkiewicz, Jake Lee, Lukas Mandrake +10
The quest to find extraterrestrial life is a critical scientific endeavor with civilization-level implications. Icy moons in our solar system are promising targets for exploration…
K-textures, a self-supervised hard clustering deep learning algorithm for satellite image segmentation
Fabien H. Wagner, Ricardo Dalagnol, Alber H. Sánchez +6
Deep learning self-supervised algorithms that can segment an image in a fixed number of hard labels such as the k-means algorithm and relying only on deep learning techniques are s…
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances
Kiri Wagstaff, Steven Lu, Emily Dunkel +8
The NASA Planetary Data System hosts millions of images acquired from the planet Mars. To help users quickly find images of interest, we have developed and deployed content-based c…
What Does CNN Shift Invariance Look Like? A Visualization Study
Jake Lee, Junfeng Yang, Zhangyang Wang
Feature extraction with convolutional neural networks (CNNs) is a popular method to represent images for machine learning tasks. These representations seek to capture global image…
Visualizing Image Content to Explain Novel Image Discovery
Jake H. Lee, Kiri L. Wagstaff
The initial analysis of any large data set can be divided into two phases: (1) the identification of common trends or patterns and (2) the identification of anomalies or outliers t…
Interpretable Discovery in Large Image Data Sets
Kiri L. Wagstaff, Jake Lee
Automated detection of new, interesting, unusual, or anomalous images within large data sets has great value for applications from surveillance (e.g., airport security) to science…