Statistical and Machine Learning Models for Remote Sensing Data Mining—Recent Advancements-Reference-Cited by-同舟云学术

Statistical and Machine Learning Models for Remote Sensing Data Mining—Recent Advancements

Published:2022-04-15 Issue:8 Volume:14 Page:1906
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Das Monidipa^ORCID,Ghosh Soumya K.^ORCID,Chowdary Vemuri M.,Mitra Pabitra,Rijal Santosh

Abstract

During the last few decades, the remarkable progress in the field of satellite remote sensing (RS) technology has enabled us to capture coarse, moderate to high-resolution earth imagery on weekly, daily, and even hourly intervals [...]

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

https://www.mdpi.com/2072-4292/14/8/1906/pdf

Reference7 articles.

1. Real-time prediction of spatial raster time series: a context-aware autonomous learning model

2. Handling Missing Data in Large-Scale MODIS AOD Products Using a Two-Step Model

3. Remote Sensing Image Scene Classification with Noisy Label Distillation

4. Feature-Level Fusion of Polarized SAR and Optical Images Based on Random Forest and Conditional Random Fields

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