This is in reference to tree species identification using submeter multispectral optical satellite data or UAV images in the context of horticulture and agroforestry studies.
Shivam Trivedi, I would recommend that you peruse this work (link provided below). It may be helpful. All the best.
Article SEGMENTATION OF SINGLE STANDING DEAD TREES IN HIGH-RESOLUTIO...
1. Supervised Classification: This technique utilizes a set of labeled training samples to develop a decision rule that can be applied to the entire data set. This is a popular technique for generating labeled training samples from Very High Resolution Satellite or UAV data.
2. Object-Based Image Segmentation: This technique involves the segmentation of the image into objects based on spectral, spatial, and/or textural characteristics. Objects can then be classified based on their extracted features.
3. Feature Extraction: This technique involves the extraction of specific features from the image, such as texture, shape, size, and/or statistical properties. These features can then be used to classify the scene.
4. Spectral Unmixing: This technique is used to identify and map the spectral composition of pixels in the image. It can be used to identify different classes of land cover in the image.
5. Clustering: This technique involves the grouping of pixels in the image based on their spectral characteristics. Clusters can then be labeled based on their extracted features.
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