Improving segmentation accuracy for detecting deforestation using texture feature derived from Landsat 8 OLI multispectral imagery

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Improving segmentation accuracy for detecting deforestation using texture feature derived from Landsat 8 OLI multispectral imagery

机译：使用源自Landsat 8 OLI多光谱图像的纹理特征提高分割精度以检测森林砍伐

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《European Journal of Remote Sensing》 |2015年第1期|共页
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1. Improving segmentation accuracy for detecting deforestation using texture feature derived from Landsat 8 OLI multispectral imagery [J] . a European Journal of Remote Sensing . 2015,第1期

机译：使用源自Landsat 8 OLI多光谱图像的纹理特征提高分割精度以检测森林砍伐
2. Comparison of hyperspectral transformation accuracies of multispectral Landsat TM, ETM+, OLI and EO-1 ALI images for detecting minerals in a geothermal prospect area [J] . Nguyen Tien Hoang, Koike Katsuaki ISPRS Journal of Photogrammetry and Remote Sensing . 2018,第MARa期

机译：用于探测地热勘探区矿物的多光谱Landsat TM，ETM +，OLI和EO-1 ALI图像的高光谱转换精度的比较
3. Evaluation of Landsat-8 OLI satellite imagery by a cross-comparison method combining spectral and texture features [J] . Zhao Jinling, Huang Linsheng, Yang Hao, Journal of Optics . 2017,第3期

机译：结合光谱和纹理特征的交叉比对方法评估Landsat-8 OLI卫星图像
4. SEAGRASS MAPPING WITH SUPERVISED CLASSIFICATION METHOD USING MULTISPECTRAL SATELLITE IMAGERY: SENTINEL-2A, SPOT-7, AND LANDSAT 8 OLI (STUDY CASE IN NATIONAL MARINE PROTECTED AREA OF ANAMBAS ISLAND, INDONESIA) [C] . Anggia Rivani, Ayuni Nur Fitriani, Sry Handini Puteri Asian Conference on Remote Sensing . 2020

机译：使用多光谱卫星图像的监督分类方法的海草映射：Sentinel-2a，Spot-7和Landsat 8 Oli（在Anambas Island，印度尼西亚国家海洋保护区的学习案例）
5. Object-oriented and pixel-based image classification using Landsat multispectral and Hyperion hyperspectral imagery in boreal conditions [D] . Hagens, Jevon S. 2008

机译：北方条件下使用Landsat多光谱和Hyperion高光谱图像进行面向对象和基于像素的图像分类
6. Multi-Feature Classification of Multi-Sensor Satellite Imagery Based on Dual-Polarimetric Sentinel-1A Landsat-8 OLI and Hyperion Images for Urban Land-Cover Classification [O] . Tao Zhou, Zhaofu Li, Jianjun Pan 2018

机译：基于双极化Sentinel-1ALandsat-8 OLI和Hyperion图像的多传感器卫星图像的多特征分类用于城市土地覆盖分类
7. Incorporating Spectral Indices and Textural Features for Improved Classification Accuracy Towards Semi-Automated River Sand Mapping Using High-Resolution Multispectral Satellite Imagery [O] . Virat Arora, S. S Rao, E Amminedu, 2019

机译：利用高分辨率多光谱卫星图像提高了分类精度的谱指数和纹理特征，以改善半自动河砂映射
8. Results of 17 Independent Geopositional Accuracy Assessments of Earth Satellite Corporation's GeoCover Landsat Thematic Mapper Imagery. Geopositional Accuracy Validation of Orthorectified Landsat TM Imagery: Northeast Asia [R] . Smith, Charles M. 2003

机译：地球卫星公司GeoCover Landsat专题制图成像的17次独立地理定位精度评估结果。正射校正Landsat Tm影像的地理定位精度验证：东北亚

Improving segmentation accuracy for detecting deforestation using texture feature derived from Landsat 8 OLI multispectral imagery

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