Update README.md

Author: robmarkcole

README.md

@@ -480,8 +480,6 @@ Note that deforestation detection may be treated as a segmentation task or a cha
 
 - [mowing-detection](https://github.com/lucas-batier/mowing-detection) -> Automatic detection of mowing and grazing from Sentinel images
 
-- [An improved Forest change detection in Sentinel-2 satellite images using Attention Residual U-Net](https://github.com/kkalinaki/Improved-Attention-Residual-U-Net-For-Forest-change-detection)
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 ### Segmentation - Water, coastlines & floods
 
 - [pytorch-waterbody-segmentation](https://github.com/gauthamk02/pytorch-waterbody-segmentation) -> UNET model trained on the Satellite Images of Water Bodies dataset from Kaggle. The model is deployed on Hugging Face Spaces
@@ -544,6 +542,8 @@ Note that deforestation detection may be treated as a segmentation task or a cha
 
 - [Flood-Mapping-Using-Satellite-Images](https://github.com/KonstantinosF/Flood-Mapping-Using-Satellite-Images) -> masters thesis comparing Random Forest & Unet
 
+- [MECNet](https://github.com/zhilyzhang/MECNet) -> Rich CNN features for water-body segmentation from very high resolution aerial and satellite imagery
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 ### Segmentation - Fire, smoke & burn areas
 
 - [SatelliteVu-AWS-Disaster-Response-Hackathon](https://github.com/SatelliteVu/SatelliteVu-AWS-Disaster-Response-Hackathon) -> fire spread prediction using classical ML & deep learning
@@ -574,6 +574,8 @@ Note that deforestation detection may be treated as a segmentation task or a cha
 
 - [Post Wildfire Burnt-up Detection using Siamese-UNet](https://github.com/kavyagupta/chabud) -> on Chadbud dataset
 
+- [vit-burned-detection](https://github.com/DarthReca/vit-burned-detection) -> Vision transformers in burned area delineation
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 ### Segmentation - Landslides
 
 - [landslide-sar-unet](https://github.com/iprapas/landslide-sar-unet) -> Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes
@@ -721,6 +723,8 @@ Extracting roads is challenging due to the occlusions caused by other objects an
 
 - [sam_road](https://github.com/htcr/sam_road) -> Segment Anything Model (SAM) for large-scale, vectorized road network extraction from aerial imagery.
 
+- [LRDNet](https://github.com/dyl96/LRDNet) -> A Lightweight Road Detection Algorithm Based on Multiscale Convolutional Attention Network and Coupled Decoder Head
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 ### Segmentation - Buildings & rooftops
 
 - [Road and Building Semantic Segmentation in Satellite Imagery](https://github.com/Paulymorphous/Road-Segmentation) uses U-Net on the Massachusetts Roads Dataset & keras
@@ -891,6 +895,8 @@ Extracting roads is challenging due to the occlusions caused by other objects an
 
 - [RoofSense](https://github.com/DimitrisMantas/RoofSense/tree/master) -> A novel deep learning solution for the automatic roofing material classification of the Dutch building stock using aerial imagery and laser scanning data fusion
 
+- [IBS-AQSNet](https://github.com/zhilyzhang/IBS-AQSNet) -> Enhanced Automated Quality Assessment Network for Interactive Building Segmentation in High-Resolution Remote Sensing Imagery
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 ### Segmentation - Solar panels
 
 - [Deep-Learning-for-Solar-Panel-Recognition](https://github.com/saizk/Deep-Learning-for-Solar-Panel-Recognition) -> using both object detection with Yolov5 and Unet segmentation
@@ -2153,6 +2159,8 @@ Change detection is a vital component of remote sensing analysis, enabling the m
 
 - [MaskCD](https://github.com/EricYu97/MaskCD) -> A Remote Sensing Change Detection Network Based on Mask Classification
 
+- [I3PE](https://github.com/ChenHongruixuan/I3PE) -> Exchange means change: an unsupervised single-temporal change detection framework based on intra- and inter-image patch exchange
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 #
 ## Time series
 
@@ -2208,6 +2216,8 @@ The analysis of time series observations in remote sensing data has numerous app
 
 - [CAPES](https://github.com/twin22jw/CAPES/tree/main) -> Construction changes are detected using the U-net model and satellite time series
 
+- [Exchanger4SITS](https://github.com/TotalVariation/Exchanger4SITS) -> Rethinking the Encoding of Satellite Image Time Series
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 #
 ## Crop classification
 
@@ -3002,6 +3012,8 @@ Image retrieval is the task of retrieving images from a collection that are simi
 
 - [remote-sensing-image-retrieval](https://github.com/IBM/remote-sensing-image-retrieval) -> Multi-Spectral Remote Sensing Image Retrieval using Geospatial Foundation Models (IBM Prithvi)
 
+- [Composed Image Retrieval for Remote Sensing](https://github.com/billpsomas/rscir)
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 #
 ## Image Captioning
 
@@ -3707,6 +3719,8 @@ Training data can be hard to acquire, particularly for rare events such as chang
 
 - [LLMs & FMs in Smart Agriculture](https://arxiv.org/pdf/2308.06668) -> Large Language Models and Foundation Models in Smart Agriculture: Basics, Opportunities, and Challenges
 
+- [LHRS-Bot](https://github.com/NJU-LHRS/LHRS-Bot) -> Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model
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 #
 ## Foundational models