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Datasets:
dccc2025
/
tmp_dataset_hadar

Modalities:
Geospatial
Tags:
hyperspectral
lwir
envi
remote-sensing
thermal
License:
Dataset card Files
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dccc2025 commited on
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Add complete HADAR /root/inputs bundle (ENVI cubes + USSA npz)

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Files changed (17) hide show
  1. .gitattributes +6 -0
  2. DATASET_CARD.md +135 -0
  3. I_downwelling_res.npz +3 -0
  4. attenuation.npz +3 -0
  5. original_datasets/.DS_Store +0 -0
  6. original_datasets/IHTest_202104_Path26_Step2_LWHSI1_collect0_DistStA.bsq +3 -0
  7. original_datasets/IHTest_202104_Path26_Step2_LWHSI1_collect0_DistStA.hdr +17 -0
  8. original_datasets/IHTest_202104_Path32_Step12_LWHSI1_collect0_DistStA.bsq +3 -0
  9. original_datasets/IHTest_202104_Path32_Step12_LWHSI1_collect0_DistStA.hdr +17 -0
  10. original_datasets/IHTest_202108_Path9_Step11_LWHSI1_DistStA.bsq +3 -0
  11. original_datasets/IHTest_202108_Path9_Step11_LWHSI1_DistStA.hdr +17 -0
  12. original_datasets/IHTest_202204_Path13_Step13_LWHSI2_DistStA.bsq +3 -0
  13. original_datasets/IHTest_202204_Path13_Step13_LWHSI2_DistStA.hdr +17 -0
  14. original_datasets/IHTest_202204_Path13_Step9_LWHSI2_DistStA.bsq +3 -0
  15. original_datasets/IHTest_202204_Path13_Step9_LWHSI2_DistStA.hdr +17 -0
  16. original_datasets/IHTest_202204_Path2_Step1_LWHSI2_DistStA.bsq +3 -0
  17. original_datasets/IHTest_202204_Path2_Step1_LWHSI2_DistStA.hdr +17 -0
.gitattributes CHANGED
@@ -58,3 +58,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ original_datasets/IHTest_202104_Path26_Step2_LWHSI1_collect0_DistStA.bsq filter=lfs diff=lfs merge=lfs -text
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+ original_datasets/IHTest_202104_Path32_Step12_LWHSI1_collect0_DistStA.bsq filter=lfs diff=lfs merge=lfs -text
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+ original_datasets/IHTest_202108_Path9_Step11_LWHSI1_DistStA.bsq filter=lfs diff=lfs merge=lfs -text
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+ original_datasets/IHTest_202204_Path13_Step13_LWHSI2_DistStA.bsq filter=lfs diff=lfs merge=lfs -text
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+ original_datasets/IHTest_202204_Path13_Step9_LWHSI2_DistStA.bsq filter=lfs diff=lfs merge=lfs -text
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+ original_datasets/IHTest_202204_Path2_Step1_LWHSI2_DistStA.bsq filter=lfs diff=lfs merge=lfs -text
DATASET_CARD.md ADDED
@@ -0,0 +1,135 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Dataset Card: Heat-Assisted Detection and Ranging (HADAR) Inputs
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+
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+ ## Overview
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+
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+ This bundle supports ground-based long-wave infrared (LWIR) hyperspectral imaging for heat-assisted detection and ranging. It combines six scenes from the [DARPA IH Dataset](https://www.kitware.com/ihdataset/) with a shared U.S. Standard Atmosphere (USSA) spectral pair: horizontal-path attenuation coefficients and a ten-angle downwelling-radiance basis.
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+
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+ The atmospheric products are a frozen copy of the `data/` directory from [Ozone-Cues (LWIR absorption-based ranging)](https://github.com/unaydorken/Ozone-Cues-Mitigate-Reflected-Downwelling-Radiance-in-LWIR-Absorption-Based-Ranging/tree/main/data). All six IH captures are daylight, near-surface scenes. For clear-sky conditions with similar air temperatures, recent work on this problem finds that site-to-site differences in downwelling spectral features are small compared with other inversion errors, so the six cubes share one USSA atmosphere rather than a per-scene sounding.
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+
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+ The ENVI cubes are too large for GitHub. The image build fetches this same layout from the frozen Hugging Face dataset [dccc2025/tmp_dataset_hadar](https://huggingface.co/datasets/dccc2025/tmp_dataset_hadar) and checks SHA256. That fetch is pinned to a commit (not a moving `main` branch) and is not a live scrape of Kitware.
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+
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+ ## Directory Layout
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+
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+ ```text
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+ inputs/
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+ ├── DATASET_CARD.md
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+ ├── attenuation.npz
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+ ├── I_downwelling_res.npz
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+ └── original_datasets/
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+ ├── IHTest_202104_Path26_Step2_LWHSI1_collect0_DistStA.{bsq,hdr}
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+ ├── IHTest_202104_Path32_Step12_LWHSI1_collect0_DistStA.{bsq,hdr}
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+ ├── IHTest_202108_Path9_Step11_LWHSI1_DistStA.{bsq,hdr}
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+ ├── IHTest_202204_Path2_Step1_LWHSI2_DistStA.{bsq,hdr}
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+ ├── IHTest_202204_Path13_Step9_LWHSI2_DistStA.{bsq,hdr}
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+ └── IHTest_202204_Path13_Step13_LWHSI2_DistStA.{bsq,hdr}
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+ ```
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+
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+ ## 1. Hyperspectral Scenes (`original_datasets/`)
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+
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+ Six ENVI-format LWIR hyperspectral cubes (`.bsq` + `.hdr`) from the DARPA IH Dataset. Each pair is a band-sequential cube plus acquisition metadata. Headers record wavelength (µm) and a near-surface air `temperature` (kelvin). They do **not** record a radiance scale factor.
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+
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+ | Scene stem | Acquisition time (UTC) | Lines | Samples | Bands |
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+ |------------|------------------------|------:|--------:|------:|
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+ | `IHTest_202104_Path26_Step2_LWHSI1_collect0_DistStA` | 2021-04-20T23:13:02 | 260 | 1600 | 256 |
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+ | `IHTest_202104_Path32_Step12_LWHSI1_collect0_DistStA` | 2021-04-22T02:36:38 | 260 | 1600 | 256 |
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+ | `IHTest_202108_Path9_Step11_LWHSI1_DistStA` | 2021-08-10T06:59:34 | 260 | 1500 | 256 |
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+ | `IHTest_202204_Path2_Step1_LWHSI2_DistStA` | 2022-04-20T21:14:29 | 480 | 1500 | 250 |
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+ | `IHTest_202204_Path13_Step9_LWHSI2_DistStA` | 2022-04-22T23:00:35 | 480 | 1500 | 250 |
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+ | `IHTest_202204_Path13_Step13_LWHSI2_DistStA` | 2022-04-22T23:09:03 | 480 | 1500 | 250 |
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+
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+ - **Format:** ENVI BSQ, 32-bit float (`data type = 4`).
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+ - **Wavelengths:** Stored in each `.hdr` file; units are micrometers (µm).
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+ - **Distribution:** `Distribution Statement A` (see scene headers).
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+
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+ ### Cube radiance units
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+
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+ The `.bsq` arrays are **not** already in
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+ \(\mathrm{W\,m^{-2}\,sr^{-1}\,\mu m^{-1}}\). They are stored a factor of
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+ \(10^{2}\) high relative to physical spectral radiance. Convert with
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+
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+ \[
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+ L_{\lambda}\;[\mathrm{W\,m^{-2}\,sr^{-1}\,\mu m^{-1}}]
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+ = 10^{-2}\,L_{\mathrm{bsq}}.
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+ \]
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+
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+ Use this scaled \(L_{\lambda}\) in any comparison to Planck \(B_\lambda(T)\)
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+ or to the bundled downwelling basis (which is already in physical units).
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+ Do not treat header `temperature` as the surface temperature map; it is
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+ local air temperature.
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+
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+ ### Source Citation
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+
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+ ```bibtex
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+ @InProceedings{Yellin_2024_WACV,
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+ author = {Yellin, Florence and McCloskey, Scott and Hill, Cole and Smith, Eric and Clipp, Brian},
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+ title = {Concurrent Band Selection and Traversability Estimation from Long-Wave Hyperspectral Imagery in Off-Road Settings},
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+ booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
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+ month = {January},
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+ year = {2024}
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+ }
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+ ```
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+
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+ **Dataset homepage:** https://www.kitware.com/ihdataset/
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+
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+ ## 2. Spectral Attenuation (`attenuation.npz`)
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+
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+ Frozen USSA horizontal-path spectral attenuation, copied from the Ozone-Cues `data/` snapshot above. Not recomputed per scene.
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+
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+ | Key | Shape | Description |
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+ |-----|-------|-------------|
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+ | `attenuation` | `(256, 1)` | Spectral attenuation coefficient α, in **dB m⁻¹** |
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+ | `lambda` | `(1, 256)` | Wavelength grid paired with `attenuation`, in **µm** |
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+
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+ **Value range (α):** approximately 2.8×10⁻⁴ to 1.4×10⁻² dB m⁻¹ over 7.98–13.05 µm.
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+
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+ Load example:
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+
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+ ```python
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+ import numpy as np
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+
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+ data = np.load("attenuation.npz")
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+ alpha = data["attenuation"] # (256, 1), dB/m
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+ lam_att = data["lambda"] # (1, 256), µm
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+ ```
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+
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+ ## 3. Downwelling-Radiance Basis (`I_downwelling_res.npz`)
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+
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+ Ten resampled USSA downwelling spectral radiance profiles, one per zenith angle, from the same Ozone-Cues `data/` snapshot. These columns are a fixed angular basis for reflected hemispherical downwelling. They are already in physical radiance units.
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+
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+ | Key | Shape | Description |
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+ |-----|-------|-------------|
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+ | `lambda` | `(1, 256)` | Wavelength grid, in **µm** (approximately 8.10–13.17 µm) |
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+ | `downwelling_res` | `(256, 10)` | Downwelling spectral radiance at each angle, in **W m⁻² sr⁻¹ µm⁻¹** |
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+
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+ **Zenith angles (column order, degrees):**
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+
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+ `0, 30, 60, 70, 80, 82, 84, 86, 88, 89`
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+
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+ Column `k` of `downwelling_res` corresponds to zenith angle `k` in the list above.
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+
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+ Load example:
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+
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+ ```python
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+ import numpy as np
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+
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+ data = np.load("I_downwelling_res.npz")
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+ lam = data["lambda"] # (1, 256), µm
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+ I_down = data["downwelling_res"] # (256, 10), W·m⁻²·sr⁻¹·µm⁻¹
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+ ```
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+
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+ ## Units and Conventions
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+
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+ | Quantity | Symbol / key | Units |
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+ |----------|--------------|-------|
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+ | Wavelength | `lambda` | µm |
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+ | Attenuation coefficient | `attenuation` (α) | dB m⁻¹ |
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+ | Downwelling spectral radiance | `downwelling_res` | W m⁻² sr⁻¹ µm⁻¹ |
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+ | Hyperspectral cube | ENVI `.bsq` | stored \(10^{2}\) high; \(L=10^{-2}L_{\mathrm{bsq}}\) in W m⁻² sr⁻¹ µm⁻¹ |
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+ | Header `temperature` | air temperature | K |
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+
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+ ## Notes for Use
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+
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+ 1. **Wavelength alignment.** LWHSI1 cubes have 256 bands starting near 8.06 µm. LWHSI2 cubes have 250 bands starting near 6.84 µm. The downwelling `lambda` grid is a 256-channel LWIR window and does **not** automatically match every scene. Interpolate or band-select every spectral product onto the scene wavelength grid before combining them.
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+ 2. **Separate attenuation grid.** `attenuation.npz` has its own `lambda` axis, offset from the downwelling grid. Resample `attenuation` onto the scene grid before using \(\tau(d)=10^{-\alpha d/10}\).
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+ 3. **Shared atmosphere.** One USSA attenuation cube and one ten-angle downwelling basis are used for all six scenes. This is a documented approximation for clear-sky, similar-temperature collections, not a claim that the real soundings were identical.
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+ 4. **Downwelling basis.** Treat the ten columns of `downwelling_res` as a fixed, ordered angular basis; do not permute them. They are not the delivered single-band texture map `X`.
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+ temperature = 295.8
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+ description = {
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+ Distribution Statement A}
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+ description = {
15
+ Distribution Statement A}
16
+ interleave = BSQ
17
+ temperature = 298.7