CAJ | 학술논문

采用分坡度、分NDVI（归一化差异植被指数）和分地类的C校正策略，对复杂地形山区Landsat TM影像进行地形校正，并运用视觉检验、回归分析和遥感分类精度将3种C校正策略的结果与传统的整体C校正进行对比，以探寻适合复杂地形山区的C校正策略。在此基础上，进一步探讨了地形校正对影像重采样尺度的响应。研究结果表明：与传统的整体C校正相比，采用分坡度、分NDVI和分地类的C校正策略能更好地消除原影像的凹凸感，减弱地形效应，且背阳面影像的过校正现象减少；各种C校正策略和整体C校正对Landsat TM影像不同波段的校正效果不一，其中，分地类的C校正策略对波段1、2、3和波段7的校正效果最好，分坡度的C校正策略对波段5的校正效果更佳，而整体C校正则对波段4的校正效果最好；虽然所有C校正均能有效地消除影像中的地形效应，但并未能提高影像分类精度；从不同重采样尺度C校正结果对比看，随着采样尺度增加，地形效应逐渐减弱，但并未完全消除，因此，中、低空间分辨率遥感影像的地形效应也不容忽视。
채용분파도、분NDVI（귀일화차이식피지수）화분지류적C교정책략，대복잡지형산구Landsat TM영상진행지형교정，병운용시각검험、회귀분석화요감분류정도장3충C교정책략적결과여전통적정체C교정진행대비，이탐심괄합복잡지형산구적C교정책략。재차기출상，진일보탐토료지형교정대영상중채양척도적향응。연구결과표명：여전통적정체C교정상비，채용분파도、분NDVI화분지류적C교정책략능경호지소제원영상적요철감，감약지형효응，차배양면영상적과교정현상감소；각충C교정책략화정체C교정대Landsat TM영상불동파단적교정효과불일，기중，분지류적C교정책략대파단1、2、3화파단7적교정효과최호，분파도적C교정책략대파단5적교정효과경가，이정체C교정칙대파단4적교정효과최호；수연소유C교정균능유효지소제영상중적지형효응，단병미능제고영상분류정도；종불동중채양척도C교정결과대비간，수착채양척도증가，지형효응축점감약，단병미완전소제，인차，중、저공간분변솔요감영상적지형효응야불용홀시。
Topographic correction for remotely sensed images is an important preprocessing step to remove the topographic effects in rugged mountainous terrain. In this study, different C-correction strategies (determining the empirical c-parameter for different NDVI intervals, different land use types, and different slope intervals) and scale levels are used to eliminate the effects of topography on Landsat TM images in complex mountains terrain. Performance of the three strategies was tested by visual comparison, correlation analysis between corrected imag-es and the solar illumination angle (cosi), and image classification accuracy. It is attempted to find a C-correction strategy more suitable for mountainous area. The test site selected for this study is Nanting River basin, which is a subbasin of the Nujiang-Salween River. Visual comparisons showed that all the three strategies of C-correction can substantially eliminate negative terrain effects. All the C-correction strategies, similar to the global C-correc-tion, resulted in over-correction phenomenon to different degree. The landuse-specific C-correction performs best on band 1, band 2, band 3 and band 7, the global C correction performs best on the band 4, while the slope-specific C-correction performs best on band 5. To achieve the best effect, different bands can be considered to take different strategies. Although these C-correction strategies can remove negative terrain effects, classifica-tion accuracy of Landsat TM images was not improved in our pilot area. Topography obviously affects remote sensing images with high spatial resolution, however, the effects of terrain on remote sensing images with low spatial resolution cannot be ignored.