Update DataGuide_AAPF_HSI.md

PlantScience · Jun 30, 2024 · 7cd3ca9 · 7cd3ca9
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@@ -127,10 +127,10 @@ This table provides a concise overview of the data processing steps applied conc
 
 This section details the interpretation of an animated GIF file used to evaluate the coregistration quality between VNIR (visible and near-infrared) and SWIR (short-wave infrared) imagery. The animation consists of four frames, each displaying a vegetation mask derived from a specific processing step:
 
-- Frame 1 (1/4): Vegetation mask obtained from the VNIR data (presented upside-down to match the original data orientation for both side and top-down views).
-- Frame 2 (2/4): Vegetation mask derived from the SWIR data after an initial coarse alignment using affine transformation parameters (translation, scaling, and rotation) specified in [HSI data processing parameters](https://github.itap.purdue.edu/PlantScience/Pipeline-AAPF-HSI/blob/master/vardata_aapf_hsi.py).
-- Frame 3 (3/4): Vegetation mask from the SWIR data following a subsequent geometric refinement using the [cv.findTransformECC](https://amroamroamro.github.io/mexopencv/matlab/cv.findTransformECC.html) function. Significant misalignment between Frame 3 and Frame 4 may indicate the need to adjust the translation, scaling, and rotation parameters within [HSI data processing parameters](https://github.itap.purdue.edu/PlantScience/Pipeline-AAPF-HSI/blob/master/vardata_aapf_hsi.py).
-- Frame 4 (4/4): The vegetation mask from Frame 1 with an additional morphological filter applied. The "default" parameter applies no filtering, while "upper," "middle," and "lower" parameters utilize only the upper, middle, or lower third of the plant segments, respectively (applicable to side view images only). Future iterations may incorporate additional morphological filter options.
+- `1/4 frame`: Vegetation mask obtained from the VNIR data (presented upside-down to match the original data orientation for both side and top-down views).
+- `2/4 frame`: Vegetation mask derived from the SWIR data after an initial coarse alignment using affine transformation parameters (translation, scaling, and rotation) specified in [HSI data processing parameters](https://github.itap.purdue.edu/PlantScience/Pipeline-AAPF-HSI/blob/master/vardata_aapf_hsi.py).
+- `3/4 frame`: Vegetation mask from the SWIR data following a subsequent geometric refinement using the [cv.findTransformECC](https://amroamroamro.github.io/mexopencv/matlab/cv.findTransformECC.html) function. Significant misalignment between `3/4 frame` and `4/4 frame` indicate the need to adjust the translation, scaling, and rotation parameters within [HSI data processing parameters](https://github.itap.purdue.edu/PlantScience/Pipeline-AAPF-HSI/blob/master/vardata_aapf_hsi.py).
+- `4/4 frame`: The vegetation mask from `1/4 frame` with an additional morphological filter applied. The `default` parameter applies no filtering, while `upper`, `middle`,and `lower` parameters utilize only the upper, middle, or lower third of the plant segments, respectively (applicable to side view images only). Future iterations may incorporate additional morphological filter options.
 
 
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