Crop classification with TerraSAR-X-derived three components using m-chi decomposition
نویسندگان
چکیده
منابع مشابه
Multi-temporal Classification for Crop Discrimination using TerraSAR – X Spotlight images
Within the past years investigations have been carried out on the usefulness of ENVISAT ASAR dual polarimetric data for environmental mapping of agricultural areas. The performance of such approach is limited by the spatial resolution of the data, which is firstly too coarse for sufficient sampling of small fields often found in Europe and secondly useful features related to agricultural treatm...
متن کاملSpatial-temporal Conditional Random Fields Crop Classification from Terrasar-x Images
The rapid increase in population in the world has propelled pressure on arable land. Consequently, the food basket has continuously declined while global demand for food has grown twofold. There is need to monitor and update agriculture land-cover to support food security measures. This study develops a spatial-temporal approach using conditional random fields (CRF) to classify co-registered im...
متن کاملAdvancements in Estimating Crop Growth Stages Using Radarsat-2 and Terrasar-x Polarimetric Data
This paper uses RADARSAT-2 quad Polarimetric Synthetic Aperture Radar (PolSAR) and TerraSAR-X dual polarimetric SAR data to monitor agriculture crop growth stages. Two RADARSAT-2 Fine Quad Wide (FQW) beam modes FQ2W and FQ10W, each with 5 sets of data and 13 sets of Stripmap TerraSAR-X data were used in the study. Both RADARSAT-2 POLSAR data and TerraSARX data were acquired in summer 2012 outsi...
متن کاملThe TerraSAR-X Mission
The German national SAR-satellite system TerraSAR-X is based on a public-private-partnership agreement between the German Aerospace center DLR and EADS Astrium GmbH. It is the continuation of the scientifically and technologically successful radar missions X-SAR (1994) and SRTM (2000) and is designed for scientific and commercial applications. The TerraSAR-X features an advanced high-resolution...
متن کاملClassification of Agricultural Sites using Time-series of High- resolution dual-polarisation TerraSAR – X Spotlight images
Increasing demands for lasting and environmentally conscious use of natural resources together with a cost effective and restrictive use of fertilizers and pesticides require the employment of new technologies in agriculture. The preliminary results presented here consist in the automatic land use classification of agricultural fields based on multi-temporal TerraSAR-X images in dual polarizati...
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ژورنال
عنوان ژورنال: Journal of the Japan society of photogrammetry and remote sensing
سال: 2015
ISSN: 0285-5844,1883-9061
DOI: 10.4287/jsprs.54.95