# Unsupervised Segmentation of Remote Sensing Images using FD Based Texture Analysis Model and ISODATA

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/unsupervised-segmentation-of-remote-sensing-images-using-fd-based-texture/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S. Hemalatha,S. Margret Anouncia |
| Citations | 43 |
| DOI | 10.4018/ijaci.2017070104 |
| Fields | Computer Science,Earth and Planetary Sciences,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2656195006 |
| Type | article |
| Year | 2017 |

## Paper authors

- [S. Hemalatha](https://scholariq.org/researchers/s-hemalatha/)

## Paper primary topic

- [Image Retrieval and Classification Techniques](https://scholariq.org/topics/image-retrieval-and-classification-techniques/)

## Paper topics

- [Image Retrieval and Classification Techniques](https://scholariq.org/topics/image-retrieval-and-classification-techniques/)
- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)
- [Remote Sensing and Land Use](https://scholariq.org/topics/remote-sensing-and-land-use/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.