Spatial Classification with Limited Observations Based on Physics-Aware Structural Constraint
Authors: Arpan Man Sainju, Wenchong He, Zhe Jiang, Da Yan898-905
AAAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experimental Evaluation In this section, we compared our proposed approach with baseline methods in related works on real-world datasets. |
| Researcher Affiliation | Academia | Department of Computer Science, The University of Alabama 2Department of Computer Science, The University of Alabama at Birmingham |
| Pseudocode | No | The paper describes algorithmic steps in text and equations but does not contain structured pseudocode or algorithm blocks with explicit labels. |
| Open Source Code | No | The paper mentions 'The codes were implemented in C++.' but does not provide a specific repository link, an explicit code release statement, or indicate code availability in supplementary materials for the methodology described in this paper. |
| Open Datasets | Yes | Our real-world datasets were collected from Kinston North Carolina and Grimesland North Carolina in Hurricane Matthew 2016. We used aerial imageries from NOAA National Geodetic Survey (National Oceanic and Atmospheric Administration 2017) with red, green, blue bands in a 2-meter spatial resolution and digital elevation map from the University of North Carolina Libraries (NCSU Libraries 2018). |
| Dataset Splits | Yes | The number of training and testing samples (pixels) are listed in Table 2. Table 2: Dataset description. Dataset Training Set Testing Set Matthew, Kinston 5,000 5,000 48,071 47,967 Matthew, Grimesland 5,000 5,000 75,670 59,405 |
| Hardware Specification | Yes | Experiments were conducted on a Dell workstation with Intel(R) Xeon(R) CPU E5-2687w v4 @ 3.00GHz, 64GB main memory, and Windows 10. |
| Software Dependencies | No | The paper mentions 'The codes were implemented in C++.' and 'R packages' but does not provide specific version numbers for any software dependencies required to replicate the experiment. |
| Experiment Setup | Yes | We tested the sensitivity of our model to different initial values of ρ and π on the Kinston dataset. We first fixed ρ as 0.999 and varied the value of π from 0.1 to 0.9. Then we fixed π as 0.3 and varied the value of ρ from 0.9. |