added solar pv segmentation model

added model and publication link to model zoo

docs/source/main/model_zoo/MODEL_ZOO.md

@@ -17,6 +17,7 @@ The [Model ZOO](https://chmura.put.poznan.pl/s/2pJk4izRurzQwu3) is a collection
 | [Agriculture segmentation RGB+NIR](https://chmura.put.poznan.pl/s/wf5Ml1ZDyiVdNiy)   | 256        | 30    | Trained on the [Agriculture Vision 2021 dataset](https://www.agriculture-vision.com/agriculture-vision-2021/dataset-2021). 4 channels input (RGB + NIR). 9 output classes within agricultural field (weed_cluster, waterway, ...). Uses X-UNet.                                                                                                                                                                                                                                                              | [Image](https://chmura.put.poznan.pl/s/35A5ISUxLxcK7kL) |
 | [Fire risk assesment](https://chmura.put.poznan.pl/s/NxKLdfdr9s9jsVA)                | 384        | 100   | Trained on the FireRisk dataset (RGB data). Classifies risk of fires (ver_high, high, low, ...). Uses ConvNeXt XXL. Val F1-score 	65.5.                                                                                                                                                                                                                                                                                                                                                                      | [Image](https://chmura.put.poznan.pl/s/Ijn3VgG76NvYtDY) |
 | [Roads Segmentation](https://chmura.put.poznan.pl/s/y6S3CmodPy1fYYz)                 | 512        | 21    | The model segments the Google Earth satellite images into 'road' and 'not-road' classes. Model works best on wide car roads, crossroads and roundabouts.                                                                                                                                                                                                                                                                                                                                                     | [Image](https://chmura.put.poznan.pl/s/rln6mpbjpsXWpKg) |
+| [Solar PV Segmentation](https://owncloud.fraunhofer.de/index.php/s/Ph9TC6BTxPi5oZZ)                 | 512        | 3    | Model trained by M Kleebauer et al. in "[Multi-resolution segmentation of solar photovoltaic systems using deep learning](https://www.mdpi.com/2596164) on a diverse range of image data, spanning UAV, aerial, and satellite imagery at both native and aggregated resolutions of 0.1 m, 0.2 m, 0.3 m, 0.8 m, 1.6 m, and 3.2 m.                                                                                                                                                                                                                                                                                                                                                      | [Image](https://github.com/Kleebaue/multi-resolution-pv-system-segmentation/blob/main/figures/prediction_multi_res.png) |
 
 ## Regression models